Re: [R] replacing unicode characters

2023-06-30 Thread Adrian Dusa
Right on the point, Ivan, that was the issue. The output from l10n_info()
was:

$MBCS
[1] FALSE

$`UTF-8`
[1] FALSE

$`Latin-1`
[1] FALSE

$codeset
[1] "US-ASCII"

(and the locale was just "C")

I simply needed to write something like:
export LC_ALL='en_US.UTF-8'

before starting the child process, and everything looks good now.

Thanks a lot, much obliged,
Adrian


On Fri, Jun 30, 2023 at 2:10 PM Ivan Krylov  wrote:

> On Fri, 30 Jun 2023 11:33:34 +0300
> Adrian Dușa  wrote:
>
> > In a very simple test, I tried creating a text file from the Electron
> > app embedded R:
> > sink("test.txt")
> > cat("\u00e7")
> > sink()
> >
> > which resulted in:
> >
> > 
> >
> > I don't quite understand how this works, my best guess is it matters
> > less how R interprets these characters, but how they are passed
> > through the child process that started R.
>
> Something goes wrong with the locale setting when the R child process
> is being launched. For example,
>
> Rscript -e 'cat("\ue7\n")'
> # ç
>
> but:
> LC_ALL=C Rscript -e 'cat("\ue7\n")'
> # 
>
> When preparing \ue7 for output, R decides that it's not representable
> in the session encoding. What's the output of sessionInfo() and
> l10n_info() in the child process?
>
> --
> Best regards,
> Ivan
>

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[R] [R-pkgs] new version of QCA

2012-04-10 Thread Adrian Dusa
Dear All,

I have just uploaded a new version of the QCA (Qualitative Comparative
Analysis) on CRAN, and it will be propagated in a couple of days.

This is version 1.0-0 (Easter edition) of the package, straight from
the previous version 0.6-5, and it represent a major re-write of the
package in order to accomodate fuzzy-sets. I am pleased to welcome
Alrik Thiem as a co-author of this package, his skills and knowledge
have been paramount to developing the current code.

This version has numerous changes in the code (probably too many to
present in this email) and new additional functions. Most notably, the
previous qmcc() function is now obsolete, given that all our tests
have shown that eqmcc() yield the same exact results but it's by far
superior in speed.

A very happy Easter, and happy QCA-ing,
Adrian and Alrik

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Re: [R] For-loop dummy variables?

2010-10-19 Thread Adrian Dusa
gravityflyer gravityflyer at yahoo.com writes:
 
 Hi everyone, 
 
 I've got a dataset with 12,000 observations. One of the variables
 (cleary$D1) is for an individual's country, coded 1 - 15. I'd like to create
 a dummy variable for the Baltic states which are coded 4,6, and 7. In other
 words, as a dummy variable Baltic states would be coded 1, else 0.  I've
 attempted the following for loop:
 
 dummy - matrix(NA, nrow=nrow(cleary), ncol=1)
 for (i in 1:length(cleary$D1)){
   if (cleary$D1 == 4){dummy[i] = 1}
   else {dummy[i] = 0}
   }
 
 Unfortunately it generates the following error:
 
 1: In if (cleary$D1 == 4) { ... :
   the condition has length  1 and only the first element will be used
 
 Another options I've tried is the following:
 
 binary - vector(length=length(cleary$D1))
 for (i in 1:length(cleary$D1)) {
   if (cleary$D1 == 4 | cleary$D1 == 6 | cleary$D1 == 7 ) {binary[i] = 1}
   else {binary[i] = 0}
 }
 
 Unfortunately it simply responds with syntax error.
 
 Any thoughts would be greatly appreciated!
 

Be aware that R is a vectorised programming language, therefore your for loop 
in 
completely unnecessary.

This is what I'd do:

dummy - rep(0, nrow(cleary))
dummy[cleary$D1 %in% c(4,6,7)] - 1

This is your dummy variable.
Below is your working (though VERY inefficient) version of the for loop:

binary - vector(length=length(cleary$D1))
for (i in 1:length(cleary$D1)) {
if (cleary$D1[i] == 4 | cleary$D1[i] == 6 | cleary$D1[i] == 7 ) {
binary[i] = 1
} else {
binary[i] = 0
}
}

Now try to figure out:
- what is the difference between your for() loop and mine?
- which code is more simple (and better), the vectorised or the for() loop?

I hope it helps,
Adrian

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Re: [R] For-loop dummy variables?

2010-10-19 Thread Adrian Dusa
On Tuesday 19 October 2010, Phil Spector wrote:
 I always find R useful to solve problems like this:
 
dummy = as.numeric(cleary$D1 %in% c(4,6,7))

Indeed, and this works too:
dummy - 1*(cleary$D1 %in% c(4,6,7))

Adrian 

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Re: [R] looking for .. dec if vector if element x

2010-05-18 Thread Adrian Dusa
On Tuesday 18 May 2010, Knut Krueger wrote:
 Hi to all,
 I am just looking for more efficient ways ;-)
 
 is there a better way instead a loop  to decrease x if greater y
 test  - c(1,3,5,7,9)
 
 decrease if greater 1 to
 test2  - c(1,2,4,6,8)

Does this help?

 test  - c(1, 3, 5, 7, 9)
 test[test  1] - test[test  1] - 1
 test
[1] 1 2 4 6 8

Adrian

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Re: [R] Question about factor that is numeric, in aov()

2010-05-09 Thread Adrian Dusa
Dear Ravi,

On Sunday 09 May 2010, Ravi Kulkarni wrote:
 I notice something curious about how aov() treats a numeric factor:

In R, there is no such thing as a numeric factor. A numeric vector is not a 
factor unless declared as such.


 score is a dependent variable and group is a factor in a one-way ANOVA.
 But group contains numeric codes and is not a factor (checked with
 
 is.factor). An ANOVA done using:
  aov(score~factor(group), data=mydata)
 
 gives the right answers. But
 
  aov(score~group, data=mydata)
 
 also produces an ANOVA table, with incorrect entries. My question is: what
 exactly is R doing when I did not specify that group was a factor?

The entries _are_ correct, because group is numeric.
From the help of aov():

Details:

 This provides a wrapper to ‘lm’ for fitting linear models to
 balanced or unbalanced experimental designs.

So aov() calls lm(), where it is mighty important whether group is numeric 
or factor. There are both in your mind, but in R you have to declare it as 
factor in order to treat it as such...

I hope this helps,
Adrian


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050025 Bucharest sector 5
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Tel.:+40 21 3126618 \
 +40 21 3120210 / int.101
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Re: [R] merging issue.........

2010-01-13 Thread Adrian Dusa
Hi Karean,

If your first object is called obj1 and the second called obj2, then:

 merge(obj1, obj2, all.x=TRUE)
  id trait1 trait2
1  1   10.29.8
2  2   11.1   10.8
3  39.7 NA
4  6   10.2   10.1
5  78.9 NA
6 109.7 NA
7 11   10.2 NA

Hope this helps,
Adrian

On Wednesday 13 January 2010, karena wrote:
 hi, I have a question about merging two files.
 For example, I have two files, the first file is like the following:
 
 id   trait1
 110.2
 211.1
 39.7
 610.2
 78.9
 10  9.7
 11  10.2
 
 The second file is like the following:
 idtrait2
 1 9.8
 2 10.8
 4 7.8
 5 9.8
 6 10.1
 1210.2
 1310.1
 
 now I want to merge the two files by the variable id, I only want to keep
 the ids which show up in the first file. Even the id does not show up
  in the second file, it doesn't matter, I can keep the missing values. So
  my question is: how can I merge the two files and keep only the rows whose
  id show up in the first file?
 I know how to do it is SAS, just use the following code:
 merge data1(in=in1) data2(in=in2);
 by id;
 if in1;
 
 but I really have no idea about how to do it in R.
 
 thank you in advance,
 
 karean
 


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Tel.:+40 21 3126618 \
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Re: [R] counting the number of times a string appears

2010-01-13 Thread Adrian Dusa
Hi Jesse,

If your vector is called aa, then how about:

 table(aa)
aa
 spp1 spp10  spp2  spp3  spp4  spp5  spp6  spp7  spp8  spp9
7 216 815 9 910 915

Hope this helps,
Adrian


On Thursday 14 January 2010, Jesse Sinclair wrote:
 Hi all,
 
 I have a vector of strings and need to count the number of times a string
 appears in the vector.
 
 eg:
 
  [1] spp6  spp10 spp6  spp6  spp4  spp2  spp9  spp10 spp5  spp2  spp2  spp3
  [13] spp4  spp3  spp6  spp10 spp6  spp4  spp9  spp3  spp6  spp1  spp10
  spp8
 
  [25] spp2  spp10 spp9  spp7  spp1  spp3  spp8  spp6  spp3  spp8  spp6 
  spp5
 
  [37] spp5  spp9  spp3  spp1  spp4  spp5  spp9  spp3  spp3  spp5  spp4 
  spp9
 
  [49] spp3  spp7  spp7  spp2  spp6  spp5  spp7  spp4  spp8  spp9  spp2 
  spp6
 
  [61] spp3  spp3  spp2  spp6  spp3  spp5  spp6  spp6  spp4  spp1  spp1 
  spp1
 
  [73] spp10 spp8  spp1  spp6  spp1  spp5  spp8  spp9  spp5  spp6  spp9
 spp10
  [85] spp2  spp6  spp10 spp1  spp2  spp3  spp5  spp8  spp2  spp7  spp4 
  spp7
 
  [97] spp2  spp6  spp2  spp6
 
 Is it possible to create a vector of counts for each spp1-spp10?
 
 Any help or ideas would be appreciated.
 
 Cheers,
 Jesse
 
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[R] install.packages error

2009-12-07 Thread Adrian Dusa

Dear listeRs,

I am trying to install a package from the command line, using 
install.packages(). Specifying all the parameters, I simply get this error:

 r - getOption(repos)
 install.packages(rJava, dependencies=T, repos=r, lib=/home/adi/myRlib)
Error: subscript out of bounds


Additional info about my system (Kubuntu 9.10):
 sessionInfo()
R version 2.10.0 (2009-10-26)
i486-pc-linux-gnu

locale:
 [1] LC_CTYPE=en_US.UTF-8   LC_NUMERIC=C
 [3] LC_TIME=en_US.UTF-8LC_COLLATE=en_US.UTF-8
 [5] LC_MONETARY=C  LC_MESSAGES=en_US.UTF-8
 [7] LC_PAPER=en_US.UTF-8   LC_NAME=C
 [9] LC_ADDRESS=C   LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C

attached base packages:
[1] stats graphics  grDevices utils datasets  methods   base

loaded via a namespace (and not attached):
[1] tcltk_2.10.0 tools_2.10.0

Thanks in advance for any hint,
Adrian

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050025 Bucharest sector 5
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[R] [R-pkgs] New version of QCA

2009-09-21 Thread Adrian Dusa

Hi,

A new version of the QCA package (0.6-0) was submitted to CRAN.
This is a major improvement, now working with multi-valued data (previous 
versions accepted binary data only).
The classical function qmcc() still accepts only binary data, but the 
enhanced function eqmcc() is now ready for mvQCA.

The QCA package performs the Quine-McCluskey algorithm for Qualitative 
Comparative Analysis.

As usual, any suggestions and bug reports are welcomed.

Adrian

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 +40 21 3120210 / int.101
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Re: [R] RMySQL - overwrite record, not table

2009-08-24 Thread Adrian Dusa


whizvast wrote:
 
 Hi, Adrian-
 
 If you use overwrite=T parameter, you will overwrite the entire table,
 not each record. this is the essence of my problem and i still haven't
 found out right solution. i am thinking of writing my own MySQLwriteTable
 function...
 
 Thank you for your answer anyway!
 

Sorry for the late reply (I'm on my vacation). If you want to replace a
variable instead of the whole dataframe, I wrote a function about a year ago
and I used it succesfully a few times.
Try this:

dbUpdateVars -
function(conn, dbtable, dataframe=NULL, primary, vars) {
if (!dbExistsTable(conn, dbtable)) {
stop(The target table \, dbtable, \ doesn't exist in the
database \, dbGetInfo(conn)$dbname, \\n\n, call. = FALSE)
}
if (is.null(dataframe)) {
stop(The source dataframe is missing, with no default\n\n, call. =
FALSE)
}
if (!(toupper(primary) %in% toupper(names(dataframe {
stop(The primary key variable doesn't exist in the source
dataframe\n\n, call. = FALSE)
}
if (!all(toupper(vars) %in% toupper(names(dataframe {
stop(One or more variables don't exist in the source
dataframe\n\n, call. = FALSE)
}
if (!(toupper(primary) %in% toupper(dbListFields(con, dbtable {
stop(The primary key variable doesn't exist in the target
table\n\n, call. = FALSE)
}
if (!all(toupper(vars) %in% toupper(dbListFields(con, dbtable {
stop(One or more variables don't exist in the target table\n\n,
call. = FALSE)
}
 
if(length(vars)  1) {
pastedvars - paste(', apply(dataframe[, vars], 1, paste,
collapse=', '), ', sep=)
}
else {
pastedvars - paste(', dataframe[, vars], ', sep=)
}

varlist - paste(dbtable, (, paste(c(primary, vars), collapse=, ),
), sep=)
datastring - paste((, paste(paste(dataframe[, primary], pastedvars,
sep=, ), collapse=), (), ), sep=)
toupdate - paste(paste(vars, =VALUES(, vars, ), sep=),
collapse=, )   

sqlstring - paste(INSERT INTO, varlist, VALUES, datastring, ON
DUPLICATE KEY UPDATE, toupdate)
dbSendQuery(conn, sqlstring)
}

I hopw it helps you,
Adrian



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Re: [R] RMySQL - overwrite record, not table

2009-08-18 Thread Adrian Dusa


whizvast wrote:
 
 Hi, useR-
 
 In RMySQL, how do I overwrite records? (equivalent to replace query).
 For example, suppose that dat2 is a newer data.frame than dat1. 
 
 con - dbConnect(MySQL())
 res - dbWriteTable(con, DBname, dat1, row.names=F, append=T, replace=T)
 res - dbWriteTable(con, DBname, dat2, row.names=F, append=T, replace=T)
 
 This would not update/replace the dat1 records in DBname with newer
 records from dat2. 
 How would you solve the problem? Thanks=
 

In case it isn't too late (it's vacation time around), try:

dbWriteTable(con, DBname, dat2, overwrite=TRUE, row.names=FALSE)

I believe you are confusing DBname with the DATABASE from the MySQL which
is not specified here but in dbConnect(). A correct (and complete)
connection to the MySQL should specify the database as well; for example:

con - dbConnect(drv, user=myusername, password=mypass,
dbname=mydatabase, host=xxx.xxx.xxx.xxx)

Here, the dbname argument specifies the database used, the equivalent of
USE command in MySQL.
If DBname refers to a table in the database used with dbConnect(), then
the first command of dbWriteTable() that I indicated (without your res -,
it's a pure command to the MySQL connection, which should not be saved into
an object) will replace the table DBname with your dat2 table.

I hope it helps,
Adrian

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Re: [R] Memory errors when using QCA package

2009-07-23 Thread Adrian Dusa
Allan Engelhardt allane at cybaea.com writes:
 
 It is a little stupid, but the length of a vector is limited to 2^31-1 
 entries on any platform.  A matrix is stored as a vector, so the product 
 of all dimensions is also limited to 2^31-1.
 
 Allan.
 
 Matthew Gwynne wrote:
  Hi,
 
  I have been using the QCA package, in particular the eqmcc function
  and I am having some issues when trying to use this to minimise a
  particular boolean function.
 
  The  boolean function in question has 16 variables, and I am providing
  the full truth table for the function (65536 with 256 true entries),
  in the following way :\
  [...snip...]

Indeed, thanks very much Allan.
There is a question though for Matthew: why do you try to provide the full truth
table? The function eqmcc() proves its strength exactly for the cases when most
of the causal combinations are unknown (as I believe it is your case).
I would suggest to run the analysis using only the observed combinations, and
eqmcc() will know what to do next.

QCA accepts both truth tables and observed combinations as entry data, but (as
you can see), there are limitations for extemely large truth tables. Should you
need further assistance, I'd be glad to help.

I hope this helps,
Adrian

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Re: [R] read.table, row.names arg

2009-06-05 Thread Adrian Dusa
Markus Loecher markus.loecher at gmail.com writes:

 [...]
  x
   ID X1 X2
 1 010007787048271871  1  4
 2   1007109516820319  2  3
 3  10094843652996959  3  2
 4 010145176274075487  4  1
 
 The first column was not read in as a string, which mangled the IDs.
 I could use colClasses explicitly, but then I would need to know the number
 and classes of the remaining columns in advance.
 Is this a bug or expected behavior ?
 Any advice would be most helpful.

You could use a generic colClasses for all columns, like:

y - read.table(tmp.txt, header= TRUE, row.names=1, colClasses=character)
y
   X1 X2
010007787048271871  1  4
10071095168203192  3
10094843652996959   3  2
010145176274075487  4  1

In this case, all columns are read as character and need to be converted
manually, but your row names are appropriate.

Hoping this helps,
Adrian

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Re: [R] re ad.table, row.names arg

2009-06-05 Thread Adrian Dusa



Markus Loecher-4 wrote:
 
 Dear R users,
 I had somehow expected that read.table() would treat the column specified
 by
 the row.names argument as of class character. That seems to be the only
 sensible class allowed for a column containing row names. However, that
 does
 not seem to be the case, as the following example shows:
 
   x - cbind.data.frame(ID = c(010007787048271871, 1007109516820319,
 10094843652996959, 010145176274075487), X1 = 1:4, X2 = 4:1)
 [...snip...]
 

As a better alternative, why not move directly the first column in the
rownames?

rownames(x) - x$ID
write.table(x[, -1], tmp.txt)
y - read.table(tmp.txt, header=T)
y
   X1 X2
010007787048271871  1  4
10071095168203192  3
10094843652996959   3  2
010145176274075487  4  1

In this case, X1 and X2 variables are read as numeric, while the first
column is read as character and assigned directly to the rownames.

HTH,
Adrian
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Re: [R] exporting data to csv file -problem with column names

2009-06-01 Thread Adrian Dusa
Steven Matthew Anderson adastra69 at mac.com writes:
 [...]
 Is there a way to exclude the row numbers from the exported csv file?   
 Or add a column name for row number to keep this from happening?

Steven, see the row.names argument in write.table(), set it to FALSE.
Adrian

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Re: [R] Help needed on R output

2009-05-26 Thread Adrian Dusa


A simpler solution:
my.string - c(,
01001001011011101100,
1001001011010101,
1101110100000011,
000100100101001001011001,
000101101101101001101001)

my.string - paste(my.string, collapse=\,\n\)

cat(paste(rom_array := (\n\, my.string, \)\n, sep=))

Which produces:
rom_array := (
,
01001001011011101100,
1001001011010101,
1101110100000011,
000100100101001001011001,
000101101101101001101001)

Search in the archives for character escaping to understand the syntax.

A simple example (notice the gradual additions):
aa - 010
cat(aa) # 010

bb - \010
cat(bb) # 010

cc - \010\
cat(cc) # 010

Also read the help for ?paste, and notice the difference between the sep
and collapse arguments.

Hth,
Adrian



Linlin Yan wrote:
 
 t - c(
 + ,
 + 01001001011011101100,
 + 1001001011010101,
 + 1101110100000011,
 + 000100100101001001011001,
 + 000101101101101001101001)
 {
 + cat ('rom_array := (\n');
 + for (i in 1:length(t)) {
 +   cat('', t[i], '',
 + ifelse(i == length(t), '', ',\n'), sep='')
 + };
 + cat(')\n');
 + }
 rom_array := (
 ,
 01001001011011101100,
 1001001011010101,
 1101110100000011,
 000100100101001001011001,
 000101101101101001101001)

 
 On Tue, May 26, 2009 at 12:30 PM, peng chen rogerchan2...@gmail.com
 wrote:
 Hi, R experts:

 I am trying to generate data output in the following format:

 rom_array := (
 ,
 01001001011011101100,
 1001001011010101,
 1101110100000011,
 000100100101001001011001,
 000101101101101001101001)

 I have all the necessary data line, however, I am having trouble
 generating
 the double quotation marks along with the trailing comma for each line.

 Anyone can help?

 Thanks.

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Re: [R] how to implement a circular buffer with R

2009-05-24 Thread Adrian Dusa

Still not elegant, but I would split the string first:
spl.str - unlist(strsplit(12345abcdefgh12345abcdefgh, ))

Measure its length:
len.str - length(spl.str)

Shift it:
spl.str - c(spl.str[len.str], spl.str[seq(len.str - 1)])

Then paste it back together:
paste(spl.str, collapse=)  # h12345abcdefgh12345abcdefg

Shift it again (same command):
spl.str - c(spl.str[len.str], spl.str[seq(len.str - 1)])

Paste it again (same command):
paste(spl.str, collapse=)  # gh12345abcdefgh12345abcdef

And so on.

Hth,
Adrian


milton ruser wrote:
 
 Hi Maura,
 
 It is not elegant but may work.
 
 
 actual.string- 12345abcdefgh12345abcdefgh
 actual.string
 actual.string-paste(substr(actual.string,
 nchar(actual.string),nchar(actual.string)),
substr(actual.string, 1,nchar(actual.string)-1), sep=)
 actual.string
 
 
 #in a looping
 
 actual.string- 12345abcdefgh12345abcdefgh
 number.buffers-10
 my.buffers-actual.string
 for (i in 1:number.buffers)
  {
  actual.string-paste(substr(actual.string,
 nchar(actual.string),nchar(actual.string)),
substr(actual.string, 1,nchar(actual.string)-1), sep=)
  my.buffers-c(my.buffers, actual.string)
  }
 my.buffers
 
 Ciao,
 
 milton
 brazil=toronto
 On Sun, May 24, 2009 at 1:09 PM, mau...@alice.it wrote:
 
 Some wavelet analysis experts have implemented periodic boundary
 conditions
 for signals.
 I need to implement a circular buffer. Something like:
 12345abcdefgh12345abcdefgh
  so that at each step the riightmost element is moved to the leftmost
 index
 and everything else is properly shifted:
 h12345abcdefgh12345abcdefg, gh12345abcdefgh12345abcdef, 

 My implementation (still debugging) seems to start working but is
 terribly
 clumsy.
 I am sure that some expert can suggest a more elegant solution,
 Thank you.
 Maura



 tutti i telefonini TIM!


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Re: [R] Row number of minimum value?

2009-05-17 Thread Adrian Dusa
Hi Mike,

On Sunday 17 May 2009, MikSmith wrote:
 Hi

 This *must* be an insanely easy thing to work out, but I'm not too familiar
 with R syntax. So how do I work out the row number (if I pass a column) of
 the minimum value?? I can get the value itself from min(), but where can I
 get the row??

Maybe this helps:
which(mycol == min(mycol))

where mycol is your column.
Hth,
Adrian


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 +40 21 3120210 / int.101
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Re: [R] split a character variable into several character variable by a character

2009-04-10 Thread Adrian Dusa
Dear Mao Jianfeng,

r-help-owner is not the place for help, but:
r-help@r-project.org
(CC-ed here)
In any case, strsplit() does the job, i.e.:

 unlist(strsplit(BCPy01-01, -))
[1] BCPy01 01

You can work with the whole variable, like:
splitpop - strsplit(df1$popcode, -)

then access the first part with
 unlist(lapply(splitpop, [, 1))
 [1] BCPy01 BCPy01 BCPy01 BCPy01 BCPy01 BCPy01 BCPy01 BCPy01
 [9] BCPy01 BCPy01

and the second part with
 unlist(lapply(splitpop, [, 2))
 [1] 01 01 01 02 02 02 02 02 02 03

hth,
Adrian

On Friday 10 April 2009, Mao Jianfeng wrote:
 Dear, R-lister,

 I have a dataframe like the followed. And, I want to split a character
 variable (popcode, or codetot) into several new variables. For example,
 split BCPy01-01 (popcode[1]) into BCPy01 and 01. I need to know how
 to do that. I have tried strsplit() and substring() functions. But, I still
 can not perform the spliting.

 Any advice? Thanks in advance.

 df1:
 popcode codetot   p3need
 BCPy01-01 BCPy01-01-1 100.
 BCPy01-01 BCPy01-01-2 100.
 BCPy01-01 BCPy01-01-3 100.
 BCPy01-02 BCPy01-02-1  92.5926
 BCPy01-02 BCPy01-02-1 100.
 BCPy01-02 BCPy01-02-2  92.5926
 BCPy01-02 BCPy01-02-2 100.
 BCPy01-02 BCPy01-02-3  92.5926
 BCPy01-02 BCPy01-02-3 100.
 BCPy01-03 BCPy01-03-1 100.

 Regards,

 Mao Jian-feng


-- 
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Romanian Social Data Archive
1, Schitu Magureanu Bd.
050025 Bucharest sector 5
Romania
Tel.:+40 21 3126618 \
 +40 21 3120210 / int.101
Fax: +40 21 3158391

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Re: [R] split a character variable into several charac ter variable by a character

2009-04-10 Thread Adrian Dusa
Good observation, Bill!
Adrian

On Friday 10 April 2009, William Dunlap wrote:
 strsplit() is the way to do it, but if your putative
 character strings come from a data.frame you need to make
 sure they are really character strings and not factors
 (at least in R 2.8.1).

 d-data.frame(name=c(Bill Dunlap, First Last), num=1:2)
 d

 name num
1 Bill Dunlap   1
2  First Last   2

 sapply(d,class)

 name   num
factor integer

 strsplit(d$name,  )

Error in strsplit(d$name,  ) : non-character argument

 strsplit(as.character(d$name),  )

[[1]]
[1] Bill   Dunlap

[[2]]
[1] First Last

 d1-data.frame(stringsAsFactors=FALSE,name=c(Bill Dunlap, First

 Last), num=1:2)

 sapply(d1,class)

   name num
character   integer

 strsplit(d1$name,  )

[[1]]
[1] Bill   Dunlap

[[2]]
[1] First Last

 Bill Dunlap
 TIBCO Software Inc - Spotfire Division
 wdunlap tibco.com

 
 -
 [R] split a character variable into several character variableby a
 character

 Adrian Dusa dusa.adrian at gmail.com
 Fri Apr 10 15:48:53 CEST 2009

 Dear Mao Jianfeng,

 r-help-owner is not the place for help, but:
 r-help at r-project.org
 (CC-ed here)

 In any case, strsplit() does the job, i.e.:
  unlist(strsplit(BCPy01-01, -))

 [1] BCPy01 01

 You can work with the whole variable, like:
 splitpop - strsplit(df1$popcode, -)

 then access the first part with

  unlist(lapply(splitpop, [, 1))

  [1] BCPy01 BCPy01 BCPy01 BCPy01 BCPy01 BCPy01 BCPy01
 BCPy01
  [9] BCPy01 BCPy01

 and the second part with

  unlist(lapply(splitpop, [, 2))

  [1] 01 01 01 02 02 02 02 02 02 03

 hth,
 Adrian

 On Friday 10 April 2009, Mao Jianfeng wrote:
  Dear, R-lister,
 
  I have a dataframe like the followed. And, I want to split a character
  variable (popcode, or codetot) into several new variables. For

 example,

  split BCPy01-01 (popcode[1]) into BCPy01 and 01. I need to know

 how

  to do that. I have tried strsplit() and substring() functions. But, I

 still

  can not perform the spliting.

 It always helps to see exactly what you tried
 and a description of how the results differ from
 what you wanted to get.

  Any advice? Thanks in advance.
 
  df1:
  popcode codetot   p3need
  BCPy01-01 BCPy01-01-1 100.
  BCPy01-01 BCPy01-01-2 100.
  BCPy01-01 BCPy01-01-3 100.
  BCPy01-02 BCPy01-02-1  92.5926
  BCPy01-02 BCPy01-02-1 100.
  BCPy01-02 BCPy01-02-2  92.5926
  BCPy01-02 BCPy01-02-2 100.
  BCPy01-02 BCPy01-02-3  92.5926
  BCPy01-02 BCPy01-02-3 100.
  BCPy01-03 BCPy01-03-1 100.
 
  Regards,
 
  Mao Jian-feng


-- 
Adrian Dusa
Romanian Social Data Archive
1, Schitu Magureanu Bd.
050025 Bucharest sector 5
Romania
Tel.:+40 21 3126618 \
 +40 21 3120210 / int.101
Fax: +40 21 3158391

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Re: [R] Random sampling based on the observations

2009-03-24 Thread Adrian Dusa
On Tuesday 24 March 2009, you wrote:
 Hello!I am having a problem with Random sampling in R. I have used a
 syntax: mydata.sub=sample(mydata,7,replace=FALSE,prob=NULL) which allows me
 to choose a random sample based on the variables(correct me if I am
 wrong!).

Actually, no.
You are sampling from a vector, and where you're using the sampled values (on 
the rows or on the variables) is up to you.

Let's say we have a dataset with 100 cases and 10 variables:

Case 1:
mydata.sub - mydata[ , sample(10, 7)]

This will sample 7 variables out of 10.

Case 2:
mydata.sub - mydata[sample(100, 10), ]

This will sample 10 cases out of 100.

 Suppose I have 10 variable and if I use the above mentioned
 command then it will choose 7 variables out of the 10 randomly. My problem
 is that I want to have a random sample which is not based on the variables
 but on the values of the variables that is the random sample will be based
 on the observations. It will be great if someone can help me out me out with
 a proper syntax. Thanks in Advance.

I think you need to read the help for:
?[

and most probably one of the introductory books for R.
I hope this helps,
Adrian


-- 
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Romanian Social Data Archive
1, Schitu Magureanu Bd.
050025 Bucharest sector 5
Romania
Tel.:+40 21 3126618 \
 +40 21 3120210 / int.101
Fax: +40 21 3158391


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Re: [R] How to write a function that accepts unlimited number of input arguments?

2009-03-10 Thread Adrian Dusa

I might very well be wrong, but something tells me Sean really wants:
sum(1:5)

or (more close to the kind of unlimited number of arguments):
sum(c(1,2,3,4,5,17))

But then again, I might be mistaken.
Best wishes,
Adrian

On Monday 09 March 2009, Gabor Grothendieck wrote:
 Try this:

 sum.test - function(...) sum(c(...))

 More commonly one uses the list(...) construct.

 On Mon, Mar 9, 2009 at 11:32 AM, Sean Zhang seane...@gmail.com wrote:
  Dear R-helpers:
  I am an R newbie and have a question related to writing functions that
  accept unlimited number of input arguments.
  (I tried to peek into functions such as paste and cbind, but failed, I
  cannot see their codes..)
 
  Can someone kindly show me through a summation example?
  Say, we have input scalar,  1 2 3 4 5
  then the ideal function, say sum.test, can do
  (1+2+3+4+5)==sum.test(1,2,3,4,5)
 
  Also sum.test can work as the number of input scalar changes.
 
  Many thanks in advance!



-- 
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Romanian Social Data Archive
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050025 Bucharest sector 5
Romania
Tel.:+40 21 3126618 \
 +40 21 3120210 / int.101
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Re: [R] Dropping rows conditionally

2009-03-04 Thread Adrian Dusa
Hi Lazarus,
It would be more simple with mdat as a matrix (before coercing to a 
data.frame). It might be a simpler way to compare a matrix with a vector but I 
don't find it for the moment; in any case, this works:
mdatT - matrix(mdat %in% c(1, 11, 20), ncol=3)
 mdat[!apply(mdatT, 1, any), ]
 C.1 C.2 C.3
row2   4   5   6
row3   7   8   9
row5  13  14  15
row6  16  17  18
Or you can use apply directly on a data.frame, with the same result:
mdat - as.data.frame(mdat)
 mdat[!apply(mdat, 1, function(x) any(x %in% c(1, 11, 20))), ]
 C.1 C.2 C.3
row2   4   5   6
row3   7   8   9
row5  13  14  15
row6  16  17  18

hth,
Adrian

On Thursday 05 March 2009, Lazarus Mramba wrote:
 Dear R-help team,

 I am getting addicted to using R but keep on getting many challenges on the
 way especially on data management (data cleaning).

 I have been wanting to drop all the rows if there values are  `NA' or have
 specific values like 1 or 2 or 3.


 mdat - matrix(1:21, nrow = 7, ncol=3, byrow=TRUE,
dimnames = list(c(row1,
 row2,row3,row4,row5,row6,row7), c(C.1, C.2, C.3)))
 mdat-data.frame(mdat)
 mdat

   C.1 C.2 C.3
 row1   1   2   3
 row2   4   5   6
 row3   7   8   9
 row4  10  11  12
 row5  13  14  15
 row6  16  17  18
 row7  19  20  21

 I want to say drop row if value=1 or value =11 or value =20

 How do I do that?


 Kind regards,
 Lazarus Mramba


-- 
Adrian Dusa
Romanian Social Data Archive
1, Schitu Magureanu Bd.
050025 Bucharest sector 5
Romania
Tel.:+40 21 3126618 \
 +40 21 3120210 / int.101
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Re: [R] [R-pkgs] New package: exams - Automatic Generation of Standardized Exams

2009-02-23 Thread Adrian Dusa

Dear Bertina,

This is an interesting solutions to generate unique tests for every student, 
and there are also some more possible approaches.
We also faced this problem and our solution was to adopt the Moodle e-learning 
platform (http://www.moodle.org), create a large pool of exercises and each 
student would then get a unique test, with randomly selected questions.

What I am dreaming of (in the long term), is to link R to Moodle to 
automatically generate questions and answers, in the very same approach 
adopted at TU Wien but not with printed PDF files but directly on the server.

The big advantage is the automatic correction of the tests, with no need of 
OCR reading or manually grading, all in a nice MySQL database. Of course, this 
means that exams are given in the computer lab, but since the tests are unique 
we do that over the course of multiple consecutive days.

Useful package nevertheless, thanks very much!
Adrian

On Monday 23 February 2009, Bettina Gruen wrote:
 Dear useRs,

 the new R package exams provides Sweave-based automatic generation of
 exams with multiple-choice questions and arithmetic problems. The
 package is available from CRAN:

 http://CRAN.R-project.org/package=exams

 It includes a vignette giving an overview of the main design aims and
 principles as well as strategies for adaptation and extension.
 Hands-on illustrations - based on example exercises and control files
 provided in the package - are presented to get new users started easily.

 Best,
 Bettina

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Re: [R] sas.get under Linux

2009-02-03 Thread Adrian Dusa
On Monday 02 February 2009, Frank E Harrell Jr wrote:
  [...]

 Stat/Transfer has a menu option to read the SAS format catalog but I
 haven't tried it.

Been there, done that... didn't get the t-shirt though.
I tried everything I believe, but with no avail.

Thanks again,
Adrian

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Tel.:+40 21 3126618 \
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Re: [R] sas.get under Linux

2009-02-02 Thread Adrian Dusa
Dear Ayah,

On Saturday 31 January 2009, Ajay ohri wrote:
 Hi,
 have you looked at the third party SAS language compilers WPS ( 600 dollars
 per desktop version http://www.teamwpc.co.uk/home/ ) and Carolina (
 http://dullesopen.com/)  http://dullesopen.com/
 http://dullesopen.com/
 if you need just base SAS.

Acually... no. I don't plan to use SAS in the future (I use R! :), just need 
it for the moment to extract some value labels.
Best wishes,
Adrian

-- 
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Tel.:+40 21 3126618 \
 +40 21 3120210 / int.101
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Re: [R] sas.get under Linux

2009-02-02 Thread Adrian Dusa
Dear Frank,

I understand. Never used SAS before, so I don't have it installed anywhere.
StatTransfer is a very useful tool indeed, but maybe I don't know how to use 
it properly.
What I have is a mydata.sas7bdat file, along with a formats.sas7bcat file. 
I specified  reading SAS value labels Read directly from a catalog file, but 
nothing appears in the output, neither in the R workspace nor in an 
intermediate SPSS file.
I also tried exporting to a SAS portable file to import directly in R, but 
there is probably something obvious that I miss because value labels are not 
there, whatever I do...

Thanks for your help,
Adrian

On Saturday 31 January 2009, Frank E Harrell Jr wrote:
 Adrian Dusa wrote:
  Dear all,
 
  I am trying to import a SAS file into R (in fact I only need the value
  labels from the formats file), using Hmisc package, but I get this error:
 
  my.sas - sas.get(/home/adi/3, fis1_sgg)
  sh: sas: not found
  Error in sas.get(/home/adi/3, fis1_sgg) :
SAS job failed with status 32512
 
  I read some past discussions and I get the impression that sas.get()
  needs the full path to the SAS executable, but I don't have that because
  I am using Linux.
 
  Is it possible to use sas.get() without having SAS installed?

 Since sas.get is trying to execute sas the answer is a definite no
 unless you use the sas.get option to run SAS on another machine to
 produce the input ASCII files needed by sas.get.  Also investigate
 sasxport.get if you have SAS version 5 transport files to import.
 See also http://biostat.mc.vanderbilt.edu/SASexportHowto

 As SAS never got it right in allowing for full metadata to be included
 in a SAS dataset, you often have to run PROC FORMAT CNTLOUT=... to
 convert format libraries to SAS datasets so that programs such as
 sasxport.get can assign value labels [if you have SAS installed, sas.get
 runs PROC CONTENTS for you.].  SPSS and Stata have always been ahead of
 SAS in this regard.

 Note that the excellent Stat/Transfer commercial product will convert
 from almost any SAS dataset format to compact R binary objects,
 including variable labels the way the Hmisc package handles them.  If
 you have another way to convert from SAS to Stata or SPSS, R is great at
 readying those formats.

 Frank

  Or alternatively, is there another function to import the formats into R?
 
  Thanks in advance for any hint,
  Adrian


-- 
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Romanian Social Data Archive
1, Schitu Magureanu Bd.
050025 Bucharest sector 5
Romania
Tel.:+40 21 3126618 \
 +40 21 3120210 / int.101
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[R] sas.get under Linux

2009-01-31 Thread Adrian Dusa
Dear all,

I am trying to import a SAS file into R (in fact I only need the value labels 
from the formats file), using Hmisc package, but I get this error:

my.sas - sas.get(/home/adi/3, fis1_sgg)
sh: sas: not found
Error in sas.get(/home/adi/3, fis1_sgg) :
  SAS job failed with status 32512

I read some past discussions and I get the impression that sas.get() needs the 
full path to the SAS executable, but I don't have that because I am using 
Linux.

Is it possible to use sas.get() without having SAS installed?

Or alternatively, is there another function to import the formats into R?

Thanks in advance for any hint,
Adrian

-- 
Adrian Dusa
Romanian Social Data Archive
1, Schitu Magureanu Bd.
050025 Bucharest sector 5
Romania
Tel.:+40 21 3126618 \
 +40 21 3120210 / int.101
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Re: [R] QCA adn Fuzzy

2008-12-23 Thread Adrian Dusa
Hi ronggui,

I believe it is dear Adrian and Prof. Gott :)
(at least I feel more comfortable being called directly)

Thanks very much for this, I am developing a series of functions for fuzzy-set 
operations to be included in the next release of the QCA package, and your 
function seems to do a good job.

I am not currently at my office (away for the Christmas holiday), but I will 
of course resume my work once I get back in Bucharest.

In the mean time, I wish you all a Merry Christmas and lots of achievements in 
the new year.
Warm regards,
Adrian

On Tuesday 23 December 2008, ronggui wrote:
 Dear  Gott and Prof Adrian DUSA ,

 I am learning fuzzy set QCA and recently, I just write a function to
 construct a truthTable, which can be passed to QCA:::eqmcc to do the
 Boolean minimization.  The function is here:
 http://code.google.com/p/asrr/source/browse/trunk/R/fs_truthTable.R
 and the help page is:
 http://code.google.com/p/asrr/source/browse/trunk/man/fs_truthTable.rd
 and the example dataset  from Ragin (2009) is here
 http://code.google.com/p/asrr/source/browse/trunk/data/Lipset_fs.rda

 Best

 On Wed, Mar 8, 2006 at 2:13 AM, Adrian DUSA dusa.adr...@gmail.com wrote:
  Dear Prof. Gott,
 
  On Monday 06 March 2006 14:37, R Gott wrote:
  Does anybody know of aything that will help me do Quantitiative
  Comparative Analysis (QCA) and/or Fuzzy set analysis??  Or failing that
  Quine?
  ta
  rg
  Prof R Gott
  Durham Univesrity
  UK
 
  There is a package called QCA which (in its first release) performs only
  crisp set analysis. I am currently adapting a Graphical User Interface,
  but the functions are nevertheless usefull.
  For fuzzy set analysis, please consider Charles Ragin's web site
  http://www.u.arizona.edu/%7Ecragin/fsQCA/index.shtml
  which offers a software (still not complete, though). Also to consider
  is a good software called Tosmana (http://www.tosmana.org/) which does
  multi-value
  QCA.
  I am considering writing the inclusion algorithms in the next releases of
   my package, but it is going to take a little while. Any contributions
  and/or feedback are more than welcome.
 
  I hope this helps you,
  Adrian
 
 
  --
  Adrian DUSA
  Romanian Social Data Archive
  1, Schitu Magureanu Bd
  050025 Bucharest sector 5
  Romania
  Tel./Fax: +40 21 3126618 \
   +40 21 3120210 / int.101
 
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050025 Bucharest sector 5
Romania
Tel.:+40 21 3126618 \
 +40 21 3120210 / int.101
Fax: +40 21 3158391


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[R] SPSSyntax function

2008-11-26 Thread Adrian Dusa
Dear all,

I've created a function called spssyntax that creates a syntax for
variable labels and value labels in SPSS (in the *sps* syntax format
that was recently discussed), using a list of such labels in R.
The entry list looks like this (between the ### signs):

###
labels - list()

labels$varlab$id - ID
labels$varlab$v1 - A label for the first variable

labels$vallab$v1 - c(
Very low=1,
Low=2,
Middle=3,
High=4,
Very high=5,
Not Applicable=-1,
Not Answered=-2)
###


And the result syntax file looks like this (again, between the ### signs):

###
VARIABLE LABELS
id ID
v1 A label for the first variable
.

VALUE LABELS
v1
1 Very low
2 Low
3 Middle
4 High
5 Very high
-1 Not Applicable
-2 Not Answered
/
.

MISSING VALUES
v1 (-1, -2)
.
###

Should there be any package interested in adopting this function
(maybe foreign?), I'd be happy to contribute it.
Best regards,
Adrian

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Re: [R] [R-pkgs] RQDA-0.1.5 is released

2008-11-25 Thread Adrian Dusa
Hi ronggui,

I tried to install your package under linux (Kubuntu Intrepid), but the 
depending package RGtk2 does not install under Linux, some kind of an error

Warning message:
In install.packages(c(DBI, RSQLite, RGtk2, gWidgets, gWidgetsRGtk2)) 
  installation of package 'RGtk2' had non-zero exit status

You're saying RQDA can be used under Linux, but can it work without RGtk2?
Thanks,
Adrian


On Monday 24 November 2008, ronggui wrote:
 RDQA is a package for Qualitative Data Analysis built upon R. It works
 both on the Windows and Linux/FreeBSD platforms. RQDA is an
 easy-to-use tool to assist in the analysis of textual data. At the
 present, it supports only plain text format data. All the information
 is stored in SQLite database via the R package of RSQLite. The GUI is
 based on RGtk2, via the aid of gWidgetsRGtk2. It includes a number of
 standard Computer-Aided Qualitative Data Analysis features. Besides,
 it seamlessly integrated with R, which means that a) statistical
 analysis on the coding is possible, and b) functions about data
 manipulation and analysis can be easily extended by writing R
 functions. To some extent, RQDA and R makes an integrated platform for
 both quantitative and qualitative data analysis.

 The current version should be regarded as Release Candidate Version, I
 will test it preliminary under Chinese Windows  OS, but it should work
 under Linux and FreeBSD.

 By the GUI, it can:
 # Import documents from plain text
 # Support non-English documents, Simplified Chinese Character is
 well-tested under Windows
 # Character-level coding using codes
 # Memos of documents, codes, coding, project, files and more
 # Retrieval of coding
 # Single-file (*.rqda) format, which is basically SQLite database.
 Data are stored in UTF-8, so it should be portable
 # Facilitator helps to categorize codes,which is key to theory
 building. I deliberately avoid using tree-like categorization
 # There is a case category, which is crucial feature to bridge
 qualitative and quantative research
 # Search information about selected case from the Internet vis popup menu
 # Temporary delete files and codes
 # Rename the files,code, code category, case and others

 More information can be found in http://rqda.r-forge.r-project.org/

 Comments and suggestions are welcome:)


-- 
Adrian Dusa
Romanian Social Data Archive
1, Schitu Magureanu Bd.
050025 Bucharest sector 5
Romania
Tel.:+40 21 3126618 \
 +40 21 3120210 / int.101
Fax: +40 21 3158391


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Re: [R] remove levels from a factor

2008-08-30 Thread Adrian Dusa

Yuan Jian jayuan2008 at yahoo.com writes:

 [...snip...]
 
 I want to remove level b because level b has less than 2.
  f
 [1] a a
 Levels: a


 f[which(f %in% names(table(f))[table(f) = 2]), drop=TRUE]
[1] a a
Levels: a

HTH,
Adrian

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Re: [R] How to repress the annoying complains from X window system

2008-08-11 Thread Adrian Dusa
On Monday 11 August 2008, Patrick Connolly wrote:
 On Sat, 09-Aug-2008 at 04:06PM -0700, dusa.adrian wrote:

 [...]

 | Warning in structure(.External(dotTclObjv, objv, PACKAGE = tcltk),
 | class = tclObj) :
 |   X11 protocol error: BadWindow (invalid Window parameter)
 |
 |  R.version
 |
 |_
 | platform   i486-pc-linux-gnu
 | arch   i486

 Is that a pre-Pentium machine??

Nope, quite the contrary. It's a HP mobile workstation model 8710w, with a 
Intel Core2Duo processor at 2.6 GHz and 2GB of RAM...

-- 
Adrian Dusa
Romanian Social Data Archive
1, Schitu Magureanu Bd.
050025 Bucharest sector 5
Romania
Tel.:+40 21 3126618 \
 +40 21 3120210 / int.101
Fax: +40 21 3158391


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Re: [R] Change language in Rcmdr

2008-07-08 Thread Adrian Dusa
On Monday 07 July 2008, Philippe Grosjean wrote:
 Hello,

 As far as I know, Rcmdr is already translated in French. It is thus just
 a question of switching R to French.

Alternatively, you could switch the language after R starts:

Sys.putenv(LANGUAGE=fr)

After this, Rcmdr will be opened in French.
Best,
Adrian


-- 
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Romanian Social Data Archive
1, Schitu Magureanu Bd.
050025 Bucharest sector 5
Romania
Tel.:+40 21 3126618 \
 +40 21 3120210 / int.101
Fax: +40 21 3158391


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Re: [R] Subsetting to unique values

2008-06-06 Thread Adrian Dusa
Emslie, Paul [Ctr] emsliep at atac.mil writes:

 
 I want to take the first row of each unique ID value from a data frame.
 For instance
  ddTable -
 data.frame(Id=c(1,1,2,2),name=c(Paul,Joe,Bob,Larry))
 
 I want a dataset that is 
 IdName
 1 Paul
 2 Bob
 
  unique(ddTable)
 Will give me all 4 rows, and
  unique(ddTable$Id) 
 Will give me c(1,2), but not accompanied by the name column.


ddTable[-which(duplicated(ddTable$Id)), ]

HTH,
Adrian

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Re: [R] Trouble receiving messages from the mailing list

2008-01-18 Thread Adrian Dusa
On Friday 18 January 2008, Ted Harding wrote:
 [...]

 This policy would carry a risk that spam mail From: a
 subscribed address (probably with a forged From:, but
 possibly also from a subscriber's compromised computer)
 will reach the list. But I dare say the rest of us can
 live with that. I certainly could.

One possible solution is to digitally sign the message, but there are probably 
few people who know about PGP and its benefits...

Adrian


-- 
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Romanian Social Data Archive
1, Schitu Magureanu Bd.
050025 Bucharest sector 5
Romania
Tel./Fax: +40 21 3126618 \
  +40 21 3120210 / int.101


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[R] read.table and double quotes in strings

2007-12-16 Thread Adrian Dusa

Dear all,

Some very wise data entry person gave me about an hour of a headache, trying 
to find out why a 2000x500 dataframe won't be read into R.
After much trial and error, I pinpointed the problem to an accidentally 
inserted double quote into a string variable (some comments from an open 
question). This can be replicated by:

aa - data.frame(id=1:2, var1=c(some \ quote, without quote))
 aa
  id  var1
1  1  some  quote
2  2 without quote

Saving this with R:
write.table(aa, aa.dat, sep=\t, row.names=F)

creates the following ASCII file (between #s)

### R export
idvar1
1   some \ quote
2   without quote
###

which throws an error when trying to load it back:

 bb - read.table(aa.dat, sep=\t, header=T)
Warning message:
In read.table(aa.dat, sep = \t, header = T) :
  incomplete final line found by readTableHeader on 'aa.dat'

The dataframe was initially an SPSS file, which saved it as tab delimited in 
this format:

### SPSS export
idvar1
1   some  quote
2   without quote
###

which of course thrown the same obvious error.

StatTransfer was the only software that solved the problem of exporting the 
SPSS file in a tab delimited file that could finally be imported in R, and 
the saved file looks like this:

### StatTransfer export
idvar1
1   some  quote
2   without quote
###

Given these examples, I have two questions:
1. What is the correct syntax to import the R-exported file
2. What can I do to prevent these situations from happening?
(besides whipping the data entry person :), I am referring to R procedures to 
detect and correct such things)

Thank you,
Adrian


-- 
Adrian Dusa
Romanian Social Data Archive
1, Schitu Magureanu Bd
050025 Bucharest sector 5
Romania
Tel./Fax: +40 21 3126618 \
  +40 21 3120210 / int.101

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Re: [R] read.table and double quotes in strings

2007-12-16 Thread Adrian Dusa
On Sunday 16 December 2007, Adrian Dusa wrote:
 Dear all,

 [...]

 Given these examples, I have two questions:
 1. What is the correct syntax to import the R-exported file
 2. What can I do to prevent these situations from happening?
 (besides whipping the data entry person :), I am referring to R procedures
 to detect and correct such things)

Trying to answer question number 2: would the usage of qmethod=double 
argument in write.table solve the problem *in general*?

What are the situations that specifically need escaping the quote character?

Thank you,
Adrian



-- 
Adrian Dusa
Romanian Social Data Archive
1, Schitu Magureanu Bd
050025 Bucharest sector 5
Romania
Tel./Fax: +40 21 3126618 \
  +40 21 3120210 / int.101

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Re: [R] connecting RMySQL to and external server

2007-12-15 Thread Adrian Dusa

Indeed, I noticed the host argument but the server demands an username and a 
password for the machine first, and only after that for the MySQL server. 
Those were the arguments I was looking for.
I will study the RODBC package then, if it solves the problem.

Thank you very much,
Adrian


On Saturday 15 December 2007, Prof Brian Ripley wrote:
 It is trivial with RODBC (I know that is not what you asked, but it is the
 solution we found first).


 For RMySQL, note first that the MySQL configuration file is consulted, so
 the default host is specified in the client section, which is like

 [client]

 port=3306

 [mysql]

 default-character-set=latin1

 Add host=foo under [client] to change the default host.

 And ?dbConnect mentions a 'host' argument under '...'.  That seems to work
 for me (provided of course the server allows connections from other
 machines): on my home network from Windows laptop to Linux server

  library(RMySQL)

 Loading required package: DBI

  drv - dbDriver(MySQL)
  con - dbConnect(drv, user=ripley, host=auk, dbname=ripley)

 This mixture of using the *local* configuration file overridden by
 arguments is a bit dangerous: RMySQL seems not really designed for
 client-server operation and there are some things that definitely do not
 work.  (As I recall, that included dbWrite as that imports a file which is
 on the local machine.)

 On Fri, 14 Dec 2007, Adrian Dusa wrote:
  Dear list,
 
  I learned how to connect R to a local MySQL server, using:
  drv - dbDriver(MySQL)
  con - dbConnect(drv, user=root, password=mypass, dbname=mydb)
 
  Is it possible to connect R in this way to an external server (on a
  different machine, with a different IP)?
 
  I read the documentation on ?dbConnect (and everything I could find on
  the internet), but I failed to find some other relevant arguments. For
  example, one needs to first connect to the external machine and only
  after that to the MySQL server on that machine. Is this possible from
  within R?
 
  Thank you in advance,
  Adrian



-- 
Adrian Dusa
Romanian Social Data Archive
1, Schitu Magureanu Bd
050025 Bucharest sector 5
Romania
Tel./Fax: +40 21 3126618 \
  +40 21 3120210 / int.101

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Re: [R] connecting RMySQL to and external server

2007-12-15 Thread Adrian Dusa
On Saturday 15 December 2007, Prof Brian Ripley wrote:
 On Sat, 15 Dec 2007, Adrian Dusa wrote:
  Indeed, I noticed the host argument but the server demands an username
  and a password for the machine first,

 But you said 'connect to', not 'log in to', so how were we to know that?

  and only after that for the MySQL server.
  Those were the arguments I was looking for.
  I will study the RODBC package then, if it solves the problem.

 I am afraid I don't understand your setup. MySQL works by listening on
 port 3306: user accounts don't come into that.  With our bastion servers
 all such ports are blocked and can only be accessed via tunnels
 (implemented by stunnel).  I think you need to discuss this with your
 sysadmins: if it works under mysql or for ODBC (isql) it will work with
 the corresponding R packages.

Of course, most definitely. I usually log in to the external machine using 
ssh, then access the MySQL server using the MySQL username and password.
I probably asked for too much from R, since logging to an external machine 
needs a secure connection.
I'll talk to our sysadmin for local advice, thanks again.

Adrian


-- 
Adrian Dusa
Romanian Social Data Archive
1, Schitu Magureanu Bd
050025 Bucharest sector 5
Romania
Tel./Fax: +40 21 3126618 \
  +40 21 3120210 / int.101

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Re: [R] connecting RMySQL to and external server

2007-12-15 Thread Adrian Dusa
On Saturday 15 December 2007, you wrote:
 Use ssh forwarding to forward local port 3307 to remote port 3306
 specifying the remote account and password.  Then if you use local port
 3306 you can access your local version of MySQL and if you
 use port 3307 you can access the remote version.   There is some
 info on the MySQL site.  First test it out by running the mysql command
 line program accessing the remote data base via port 3307 and once
 that works you know its ok and you can try RMySQL or RODBC packages.

Thanks Gabor, it is a little bit of a foreign language for me (at the moment) 
but I'm sure your hints will be relevant to our sysadmin.
I do want to understand this stuff myself, just need more digging in the 
manuals.

Cheers,
Adrian


-- 
Adrian Dusa
Romanian Social Data Archive
1, Schitu Magureanu Bd
050025 Bucharest sector 5
Romania
Tel./Fax: +40 21 3126618 \
          +40 21 3120210 / int.101

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[R] connecting RMySQL to and external server

2007-12-14 Thread Adrian Dusa

Dear list,

I learned how to connect R to a local MySQL server, using:
drv - dbDriver(MySQL)
con - dbConnect(drv, user=root, password=mypass, dbname=mydb)

Is it possible to connect R in this way to an external server (on a different 
machine, with a different IP)?

I read the documentation on ?dbConnect (and everything I could find on the 
internet), but I failed to find some other relevant arguments. For example, 
one needs to first connect to the external machine and only after that to the 
MySQL server on that machine. Is this possible from within R?

Thank you in advance,
Adrian

-- 
Adrian Dusa
Romanian Social Data Archive
1, Schitu Magureanu Bd
050025 Bucharest sector 5
Romania
Tel./Fax: +40 21 3126618 \
  +40 21 3120210 / int.101

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Re: [R] Dot plots in R

2007-11-26 Thread Adrian Dusa
On Saturday 24 November 2007, Paul Smith wrote:
 Dear All,
 Can R produce dot plots like the one of the following picture:
 http://en.wikipedia.org/wiki/Image:Dotplot_of_random_values.png
 ?
 I have tried dotchart, but no success.

I'm coming late to this thread, but I believe what Paul wants is better suited 
by the DOTplot() function from the UsingR package: it looks exactly the same 
as the web image and it has no axes, as Paul wants in a later message.

x - sample(1:10, 30, replace=T)
library(UsingR)
DOTplot(x)

Hth,
Adrian


-- 
Adrian Dusa
Romanian Social Data Archive
1, Schitu Magureanu Bd
050025 Bucharest sector 5
Romania
Tel./Fax: +40 21 3126618 \
  +40 21 3120210 / int.101

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Re: [R] generate combination set

2007-11-16 Thread Adrian Dusa
Hi Haris,

On Thursday 15 November 2007, Charilaos Skiadas wrote:
 I must be missing something. What's wrong with:

 combn(set, 2)

 or if we must t(combn(set,2)), optionally with a function argument in
 the combn call if something is to be done with the pairs?

 So if you really wanted the outputs to be AB,AC etc, you would do:

 combn(set,2, paste, collapse=)

Indeed, you got the right solution even from yesterday. I get my emails in a 
digest mode, so if you don't reply to all (CC all the others including the 
list) your solution doesn't arrive in my Inbox but until the next day.

Best,
Adrian

-- 
Adrian Dusa
Romanian Social Data Archive
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050025 Bucharest sector 5
Romania
Tel./Fax: +40 21 3126618 \
  +40 21 3120210 / int.101

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Re: [R] generate combination set

2007-11-16 Thread Adrian Dusa
On Friday 16 November 2007, Peter Dalgaard wrote:
 [...]

 Or even (from someone who have known about combn for a while)

  combn(LETTERS[1:7], 2, paste, collapse=)

  [1] AB AC AD AE AF AG BC BD BE BF BG CD CE
 CF CG
 [16] DE DF DG EF EG FG

Chapeau...

Adrian


-- 
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Romanian Social Data Archive
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050025 Bucharest sector 5
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Re: [R] generate combination set

2007-11-15 Thread Adrian Dusa
On Thursday 15 November 2007, [EMAIL PROTECTED] wrote:
 Actually, (now that I know about combn), a better way is

 t(matrix(set[combn(7,2)], nrow = 2))

Indeed, or to avoid transposing:

matrix(set[combn(7,2)], ncol = 2, byrow=T)

Adrian

-- 
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Romanian Social Data Archive
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050025 Bucharest sector 5
Romania
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  +40 21 3120210 / int.101

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Re: [R] list matching

2007-10-07 Thread Adrian Dusa
On Sunday 07 October 2007, Gabor Grothendieck wrote:
 zoo's merge can do a multiway intersection.  We turn each component
 of aa into the times of a dataless zoo object (assuming the elements of
 each component are unique) and merge them together using all = FALSE
 which will only leave those points at times in all components.  Extracting
 the time and stripping off the names gives the result.

 library(zoo)
 as.vector(time(do.call(merge, c(lapply(aa, function(x) zoo(,x)), all =
 FALSE

Hi Gabor, it's always good to see clever solutions. Never thought about using 
time series to perform intersections :)

I can't reproduce your solution though:
Error in rval[[1]] : subscript out of bounds

The elements of each component are indeed unique; the argument all = FALSE 
intrigues me: which function should use it, zoo() or c() ?

The result of lapply() is a list; when performing c() over that list, the 
argument all = FALSE does nothing but to add another branch... hmm, I should 
really use more time series...

Adrian


-- 
Adrian Dusa
Romanian Social Data Archive
1, Schitu Magureanu Bd
050025 Bucharest sector 5
Romania
Tel./Fax: +40 21 3126618 \
  +40 21 3120210 / int.101

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Re: [R] list matching

2007-10-07 Thread Adrian Dusa
On Sunday 07 October 2007, you wrote:
 Perhaps its a version problem?  [...]

  R.version.string # Vista

 [1] R version 2.6.0 beta (2007-09-23 r42958)

  packageDescription(zoo)$Version

 [1] 1.3-2

I don't know, everything is up to date here, too.
I'm using Kubuntu Linux and the latest versions of R and zoo:

 R.version.string
[1] R version 2.6.0 (2007-10-03)

 packageDescription(zoo)$Version
[1] 1.3-2

Adrian


-- 
Adrian Dusa
Romanian Social Data Archive
1, Schitu Magureanu Bd
050025 Bucharest sector 5
Romania
Tel./Fax: +40 21 3126618 \
  +40 21 3120210 / int.101

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Re: [R] list matching

2007-10-07 Thread Adrian Dusa
On Sunday 07 October 2007, Gabor Grothendieck wrote:
 I thought the latest zoo fixes were on CRAN but perhaps they
 are not.   Try this:

 library(zoo)
 # next line loads latest version of merge.zoo (fixed in August)
 source(http://r-forge.r-project.org/plugins/scmsvn/viewcvs.php/*checkout*/
pkg/R/merge.zoo.R?rev=361root=zoo)

 as.vector(time(do.call(merge, c(lapply(aa, function(x) zoo(,x)), all =
 FALSE

Yeap, that fixes it.
Ah-haa, so all = FALSE is merge()s argument...
Neat :)
Adrian


-- 
Adrian Dusa
Romanian Social Data Archive
1, Schitu Magureanu Bd
050025 Bucharest sector 5
Romania
Tel./Fax: +40 21 3126618 \
  +40 21 3120210 / int.101

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[R] list matching

2007-10-06 Thread Adrian Dusa

Dear list,

Given a list of elements like:
aa - list(one=c(o, n, e),
   tea=c(t, e, a),
   thre=c(t, h, r, e))

Is there a function that returns the intersection between all?
Both match() and intersect() only deal with two arguments, but sometimes I 
have more.

Here, it should return e (or NA if none of the letters are common).

I have a solution to apply %in% multiple times (here two times, first between 
the first two and then between the result and the third) but... perhaps there 
is a better and quicker way.

Thanks in advance,
Adrian

--
Adrian Dusa
Romanian Social Data Archive
1, Schitu Magureanu Bd
050025 Bucharest sector 5
Romania
Tel./Fax: +40 21 3126618 \
  +40 21 3120210 / int.101

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and provide commented, minimal, self-contained, reproducible code.


Re: [R] list matching

2007-10-06 Thread Adrian Dusa
On Saturday 06 October 2007, Marc Schwartz wrote:
 [...]

 intersectList - function(x)
 {
   res - table(unlist(sapply(x, unique)))
   names(res[res == length(x)])
 }


 In the first line, I use unique() to ensure that if the same letter
 appears more than once in the same list element, it is not included in
 the result set in error, such as in 'L' here:


 L - list(a = c(a, b, b), b = c(d, b, a), c = c(d, a))

  L

 $a
 [1] a b b

 $b
 [1] d b a

 $c
 [1] d a

 So:
  intersectList(aa)

 [1] e

  intersectList(L)

 [1] a


Neat :o)

Of course, this was the right way to follow... in my particular case the 
elements are always unique but generally this is the best approach indeed.

Thanks Marc,
Adrian


-- 
Adrian Dusa
Romanian Social Data Archive
1, Schitu Magureanu Bd
050025 Bucharest sector 5
Romania
Tel./Fax: +40 21 3126618 \
  +40 21 3120210 / int.101

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Re: [R] Adding a table to a plot area

2007-09-24 Thread Adrian Dusa
Frank E Harrell Jr f.harrell at vanderbilt.edu writes:
 Judith Flores wrote:
  Is there a command to insert a table into the plot
  area other that using text?
  
  Thank you.
 
 To me the only completely satisfying approach is to use LaTeX and psfrag 
 in you want great alignment and other features.  A howto with R is at 
 http://biostat.mc.vanderbilt.edu/PsFrag .  This uses the fragmaster perl 
 script which runs LaTeX from within R to make the final graphics file 
 self-contained.

The howto is interesting and extremely useful (thank you), however there is one
line that couldn't be completed:

tab - latexTabular(x, align='rl')  # new function in Hmisc

Which version of Hmisc has (will have) this new function?
It cannot be found in the latest version (3.4-2) from CRAN...

Best wishes,
Adrian

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Re: [R] programming question

2007-09-17 Thread Adrian Dusa
On Monday 17 September 2007, you wrote:
 R 2.6.0 has Reduce;

 myvec - c(2, 8, 24, 26, 51, 57, 58, 78, 219)
 Reduce(function(myvec, p) setdiff(myvec, findSubsets2(p)), myvec, myvec)

Thanks Gabor, at first I jumped off my chair but... for many input variables 
it takes ages to reduce the vector. My crude solution is way faster than 
Reduce()
For 9 input variables:

`findSubsets2` - 
function(element) {
require(QCA)
base3row - getRow(rep(3,9), element, zerobased=TRUE)
increment - function(x, y) {
a - x
for (i in 1:2) {
a - as.vector(outer(y, a, +))
x - c(x, a)
}
return(x)
}
indices - which(base3row == 0)
mbase - c(6561, 2187, 729, 243, 81, 27, 9, 3, 1)
for (i in indices) {
element - increment(element, mbase[i])
}
return(element[-1])
}


`myreduce` - function(myvec) {
position - 1
while(position  length(myvec)) {
falsevector - findSubsets2(myvec[position])
myvec - setdiff(myvec, falsevector)
position - position + 1
}
return(myvec
}


The timings for the tests:
set.seed(1)
myvec1 - myvec2 - sort(sample(3^9, 3^8)) - 1

 system.time(myvec1 - myreduce(myvec1))
   user  system elapsed
  0.200   0.004   0.204

 system.time(myvec2 - Reduce(function(myvec2, p) setdiff(myvec2, 
findSubsets2(p)), myvec2, myvec2))
   user  system elapsed
 12.093   0.000  12.095

With 14 input variables my function takes 24 seconds to complete, and I'd like 
to process 20 such input variables (their complexity grow exponentially)...

Thanks again,
Adrian



-- 
Adrian Dusa
Romanian Social Data Archive
1, Schitu Magureanu Bd
050025 Bucharest sector 5
Romania
Tel./Fax: +40 21 3126618 \
  +40 21 3120210 / int.101

__
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and provide commented, minimal, self-contained, reproducible code.