Dear R-List,
I want to have descriptive stats in a special form and cannot figure out a nice
solution.
My dataset:
Item_IdYear_Month
B65623262 201204
B58279745 201204
B33671102 201204
B36630946 201204
B63270151 201204
B63270133 201204
I have written my code to calculate one more column which is the product
maturity time as the following:
Not that I want to get deeply involved with this, but techniques that allow you
to take the random variation of the plots into account are badly needed in
practice. I mean, running qqnorm(rnorm(10)) a dozen times _ought_ to cure you
of overinterpreting plots that are not bang-on a straight line
Hello all:
Is it possible to generate quasi-random positive numbers, given a standard
deviation and mean? I need all positive values to have the same probability
of selection (uniform distribution). Something like:
runif(10, min = 0, max = 100)
This way I'm generating random positive numbers
Hi to everyone
I have a big dataset (40.000 columns (variables) and 50 rows)
I want to impute a lot of variables with library(mice), the problem is that
this process is too slow (because of my dataset, the library is brilliant).
I am looking some options like Amazon web services, (
On 05-Aug-2014 10:27:54 Frederico Mestre wrote:
Hello all:
Is it possible to generate quasi-random positive numbers, given a standard
deviation and mean? I need all positive values to have the same probability
of selection (uniform distribution). Something like:
runif(10, min = 0, max =
Hi,
As a slight aside, did you mean pseudo-random or quasi-random?
http://en.wikipedia.org/wiki/Pseudorandom_number_generator
http://en.wikipedia.org/wiki/Low-discrepancy_sequence
runif gives a sequence of pseudo-random numbers, for quasi-random numbers you
will need something else, for
On Tue, 5 Aug 2014 11:36:36 AM Alain D. wrote:
Dear R-List,
I want to have descriptive stats in a special form and cannot figure
out a
nice solution.
df-
as.data.frame(cbind(i1=rep(+),i2=rep(+,10),i3=rep(-,10),i4=c(rep(
-,2),0,rep(-,7)),i5=rep(+,10),i6=c(rep(-,9),+),i7=c(rep(+,4),0
Thank you Jim,
this is a good step in the right direction. But is there also a way to get the
output in a nice dataframe with VAR1 to VAR 1 to 9 as rows?
Best wishes
Alain
Jim Lemon j...@bitwrit.com.au hat am 5. August 2014 um 14:35 geschrieben:
On Tue, 5 Aug 2014 11:36:36 AM Alain D.
You could try:
lv - levels(unique(unlist(df)))
as.data.frame(t(apply(df, 2, function(x) table(factor(x, levels=lv)
+ - 0
i1 10 0 0
i2 10 0 0
i3 0 10 0
i4 0 9 1
i5 10 0 0
i6 1 9 0
i7 9 0 1
i8 4 2 4
i9 7 1 2
A.K.
On Tuesday, August 5, 2014 5:36 AM, Alain D.
Thanks to Charles Berry for suggesting iris{datasets} and to Peter
Dalgaard for suggesting Confidence Intervals as produced by qqPlot{car}.
Spencer
On 8/5/2014 2:55 AM, peter dalgaard wrote:
Not that I want to get deeply involved with this, but techniques that allow you
to take the random
Dear David,
Once again, thank you very much for your email.
I believe I understand why I got a different number of warnings.
It seems that when you type length(warnings) you keep the information on the
run before the last.
I come up with a simple example called testing (you will need to
Great! This is exactly what I was locking for!
Thank you very much, arun.
Best wishes
Alain
arun smartpink...@yahoo.com hat am 5. August 2014 um 16:47 geschrieben:
You could try:
lv - levels(unique(unlist(df)))
as.data.frame(t(apply(df, 2, function(x) table(factor(x, levels=lv)
Hello,
In the following code, I need to calculate parameters
par_1,par_2,par_3,seperately for all the rows in casted data-frame .
how may I avoid the for loop because it is taking too much time , as in I
want to calculate optimized parameters(initial values 0.2,0.25,0.3 ,,, so
that I get
This works, but it is not quite what I need:
par(mar=rep(0,4))
while(1)
{
img1-matrix(runif(2500),50,50)
dev.hold(); image(img1,useRaster=TRUE); dev.flush()
img2-matrix(runif(2500),50,50)
dev.hold(); image(img2,useRaster=TRUE); dev.flush()
}
I would like to do this:
while(!kbhit())
Hello,
My name is Jenny Jiang and I am a Finance Honours research student from the
University of New South Wales Australia. Currently my research project involves
the calculating of some network centrality measures in R, which are degree,
closeness, betweenness and eigen vector. However I am
Hello,
My name is Jenny Jiang and I am a Finance Honours research student from the
University of New South Wales Australia. Currently my research project involves
the calculating of some network centrality measures in R, which are degree,
closeness, betweenness and eigen vector. However I am
Dear Teresa,
using such services will only speed up the imputations significantly if you can
split up/parallelize your code.
And maybe you can use more cores on your local machine by using packages like
doSNOW, foreach and/or plyr. There are a lot of examples on the web.
Kind regards
Arne
Hi,
This list doesn't allow most kinds of attachments. Please see the
following link for some ideas on best practices for formulating your
question and provided a reproducible example:
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
The posting guide
Hello,
My name is Jenny Jiang and I am a Finance Honours research student from the
University of New South Wales Australia. Currently my research project involves
the calculating of some network centrality measures in R, which are degree,
closeness, betweenness and eigen vector. However I am
Dear All,
I am getting this error: Error in boxplot$Month : object of type 'closure'
is not subsettable
The following is the codes i am using to produce the boxplot I need for
this daily rainfall data.
## reading the data
rm(list=ls(all=TRUE))
On Tue, Aug 5, 2014 at 7:33 AM, Frederic Ntirenganya ntfr...@gmail.com wrote:
Dear All,
I am getting this error: Error in boxplot$Month : object of type 'closure'
is not subsettable
probably because your dataframe is box_plot while boxplot is the name
of a function.
Try
box_plot$Month
Sarah
By my count this is the third time you've posted this.
Please do not do that. Please do read the posting guide. Please do not
try to attach files that the list software will remove. Instead, put
enough data and code in the body of your email that others on the list
can reproduce your problem.
Hi there,
Could someone explain the input options in the function
gpCreat(q,d,X,y,options) in package gptk? I tried looking at the program
gpOptions.R but did not get the way to input the option
Many thanks
Gyan
..
Gyanendra Pokharel
University of Guelph
Guelph, ON
Dear All,
The latest issue of The R Journal is now available at
http://journal.r-project.org/archive/2014-1/
Many thanks to all contributors, and apologies for the delay.
Regards,
-Deepayan
___
r-annou...@r-project.org mailing list
boxplot is a function (closure). You probably meant bungoma_boxplot$Month?
Please read the Posting Guide. One point it mentions is that this is a plain
text mailing list... HTML format email is not a what-you-see-is-what-we-see
format.
What tools do you like for working with tab delimited text files
up to 1.5 GB (under Windows 7 with 8 GB RAM)?
Standard tools for smaller data sometimes grab all the available
RAM, after which CPU usage drops to 3% ;-)
The bigmemory project won the 2010 John Chambers
Dear friends - below is a small example showing a problem I have
understanding doubleYScale from latticeExtra -
R version 3.0.2 (2013-09-25) -- Frisbee Sailing
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)
Both obj1 and obj2 are
Have you tried read.csv.sql from package sqldf?
Peter
On Tue, Aug 5, 2014 at 10:20 AM, Spencer Graves
spencer.gra...@structuremonitoring.com wrote:
What tools do you like for working with tab delimited text files up to
1.5 GB (under Windows 7 with 8 GB RAM)?
Standard tools for
Hi,
Let's say that I have a scalar character object called tmp which stores
the entire content of an ASCII file. Is there a function that would
process tmp the same way read.table() would process the content of the
original ASCII file?
The content of tmp will come from a database, and I want
Not a single function, but the subplot function in the TeachingDemos
package can be used to add the histogram and/or density plot in the
empty part of a qqplot.
On Sun, Aug 3, 2014 at 1:38 PM, Spencer Graves
spencer.gra...@structuremonitoring.com wrote:
Does a function exist that
On 05/08/2014 18:29, sbihorel wrote:
Hi,
Let's say that I have a scalar character object called tmp which stores
the entire content of an ASCII file. Is there a function that would
process tmp the same way read.table() would process the content of the
original ASCII file?
The content of tmp
Revolution Analytics staff and guests write about R every weekday at
the Revolutions blog:
http://blog.revolutionanalytics.com
and every month I post a summary of articles from the previous month
of particular interest to readers of r-help.
In case you missed them, here are some articles related
Hi,
Thanks for the info. Unfortunately, read.table() does not have the text
argument in the version of R that I can use.
Do you know when was this argument introduced?
Sebastien
On 05/08/2014 18:29, sbihorel wrote:
/ Hi,
//
// Let's say that I have a scalar character object called tmp which
On 05/08/2014 19:15, sbihorel wrote:
Hi,
Thanks for the info. Unfortunately, read.table() does not have the text
argument in the version of R that I can use.
Do you know when was this argument introduced?
No, but the posting guide asked you to update *before posting* (have you
yet read it?:
On Aug 5, 2014, at 10:20 AM, Spencer Graves wrote:
What tools do you like for working with tab delimited text files up to
1.5 GB (under Windows 7 with 8 GB RAM)?
?data.table::fread
Standard tools for smaller data sometimes grab all the available RAM,
after which CPU usage drops
Dear R users,
I have a list of vectors (list is called HTNlist). Each vector is of length
1 to 4 and takes only 0 and 1 as values. E.g.
head(HTNlist)
$`30008`
[1] 1 0 1 0
$`60008`
[1] 0 0 1 0
$`90008`
[1] 0 0 1 0
$`17`
[1] 1
$`130001`
[1] 0 1
$`130007`
[1] 1 0 1 0
I would like to
Hello,
Maybe something like
table(unlist(lapply(HTNlist, paste, collapse = '')))
(Untested, it's a bad idea not to use ?dput to give a data example.)
Use
dput(head(HTNlist)) # paste the output of this in a mail
Hope this helps,
Rui Barradas
Em 05-08-2014 18:39, Marie-Pierre Sylvestre
You can those vectors into character strings and pass them to table(). E.g.,
d - list(`30008`=c(1,0,1,0), `60008`=c(0,0,1,0), `90008`=c(0,0,1,0),
`17`=1, `130001`=c(0,1), `130007`=c(1,0,1,0))
dChar - vapply(d, FUN=function(di)paste(di, collapse= ), FUN.VALUE=)
dTable - table(dChar)
I have an R script which is to be run in batch mode from a Windows shell
and I need to echo messages to this shell (reporting that this step has
succeeded and that other failed, and so on).
A combination of R CMD BATCH myscript.R con and options(echo=FALSE) is not
really an option since I also
Alternatively, use sapply instead of lapply
marieData - list('30008'=c(1,0,1,0), '60008'=c(0,0,1,0), '90008'=c(0,0,1,0),
'17'=1, '130001'=c(0,1))
marieData
$`30008`
[1] 1 0 1 0
$`60008`
[1] 0 0 1 0
$`90008`
[1] 0 0 1 0
$`17`
[1] 1
$`130001`
[1] 0 1
table(sapply(marieData,
Using vapply instead of sapply or unlist(lapply) here gives you a
little more safety. vapply insists that you supply a FUN.VALUE
argument that gives a prototype (type and length) of the expected
output of FUN. It will stop if FUN returns something unexpected.
Compare the following where I
On Aug 5, 2014, at 1:53 PM, Dominic Comtois wrote:
I have an R script which is to be run in batch mode from a Windows shell
and I need to echo messages to this shell (reporting that this step has
succeeded and that other failed, and so on).
A combination of R CMD BATCH myscript.R con and
You could create a tcltk window that looks for a button click and/or
key press and when that happens change the value of a variable. Then
in your loop you just look at the value of the same variable and break
when the value changes.
On Tue, Aug 5, 2014 at 6:13 AM, William Simpson
Dear R-help,
My name is Jenny Jiang and I am a Finance Honours research
student from the University of New South Wales Australia. Currently my
research project involves the calculating of some network centrality
measures in R, which are degree, closeness, betweenness and eigenvector.
However
hi,
this may be overkill but i have a general function that tabulates lists of
anything. it works on vectors as in your example.
the input is a list and the output is a list with 2 elements 1) list of
unique values and 2) a matching vector of counts. to that out[[1]][[k]]
occurs out[[2]][k]
it needs a lappend function
lappend - function(lst, obj) {
lst[[length(lst)+1]] - obj
return(lst)
}
On Tue, Aug 5, 2014 at 10:59 PM, peter salzman peter.salzmanu...@gmail.com
wrote:
hi,
this may be overkill but i have a general function that tabulates lists of
anything. it works
Estimados
Hoy mientras me distraía leyendo al azar, vi un artículo sobre R para
altos rendimientos, yo no dispondo de esos requerimientos informáticos,
sin embargo les paso el hipervínculo por si a alguno le resulta
interesante y puede aplicarlo.
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