Hi Greg, please forgive me as I could not understand one part of your
wishful reply. You said: distributions where one is uniform between 0 and 1
with height 1; the other also has height 1 between 0 and 0.99, but is also 1
between 999.99 and 1000, zero elsewhere. Can you be more specific on this
I am trying to read some data off the zillow site. Newbie to xml, html,
parsing and the xml package. I've been able to load the web page I'm
interested with the following code but I'm not sure of the next step to get
the information I'm interested in into R :
library(XML)
url -
Is there an elegant way to do operations (+/-/*/ / ) on zoo/xts objects when
one serie is monthly (end of month) and the other daily (weekdays only) -
typically a monthly economic indicator and a stock index price?
Thanks,
TDB
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Hello list readers,
I am running a set of GLMs on fish spp presence/absence as a function of
various habitat characteristics. My response is binomial and I have four
predictors, three of which are categorical.
So, R takes one of my predictor-variables away to use as the intercept (the
first one
Hello
I want to use the test.nested.model, in order to compare two nested models,
which is under package EMA, however, I did not find it in the list of packages
to install in R. How is this possible?
Thanks for help in advance.
Rosario
__
I replace the zlib1.dll in system32
C:\WINDOWS\system32\zlib1.dll
with the zlib1.dll in GTK2
D:\GTK2-Runtime\bin\zlib1.dll
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Hi Ashley,
It does not look like you have done the wrong thing to me. The
results will be different because eacho f the parameter estimates is
now the change from SS to ___ instead of from HH to . In fact,
from your first table, you can calculate all the parameters in the
second. The
Hi Rosario,
Can you provide the results of sessionInfo() ?
install.packages(EMA)
works for me.
Cheers,
Josh
On Sat, May 28, 2011 at 4:27 PM, Rosario Garcia Gil
m.rosario.gar...@slu.se wrote:
Hello
I want to use the test.nested.model, in order to compare two nested models,
which is under
This is _not_ a reproducible example so one can only guess,
but the fact that with returns the analysis goes suggests that
there is something amiss with your price variable.
Roger Koenker
rkoen...@illinois.edu
On May 28, 2011, at 1:47 PM, Sergius Cerice wrote:
Dear All,
I,m trying to
Hi Ista,
Thank you so much for your explanation!!
I know now how to handle this scale_color_manual() function.
Le 28/05/2011 19:56, Ista Zahn a écrit :
Hi Victor,
The problem is that you have not grasped the difference between
setting an aesthetic to a fixed value and mapping it to a
On Sat, May 28, 2011 at 7:48 PM, Matthew Keller mckellerc...@gmail.com wrote:
Perhaps this is more of a unix question, but I'll give it a try here.
I am running 9 different R processes at the same time (called from a
shell script using R CMD BATCH). When I use the top program to
monitor how
Thanks Josh,
This makes sense. The coefficient of one parameter is given in reference to
another parameter. (Aha! The reference parameter.)
I'm still a little confused on the standard errors (SEs) and why they change
too? Should I change the reference around until I find the best-looking SEs?
http://r.789695.n4.nabble.com/file/n3558595/help_snap.jpg
Why do R rename my rows and columns when loading it like in the image above?
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Thank you very much for your help.I was confused about how to find the length
of a file without using the length function.
Thank you so much for your answer ,Dennis
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Here´s my problem,
i have developed the function kurtosis (using R-book as a guide) with this
commands:
kurtosis-function(x) {
m4-sum((x-mean(x))^4)/length(x)
s4-var(x)^2
m4/s4 - 3 }
Then create the object fem, which is the difference between the count of a
trait in the left side of the body
kurtosis(fem[!is.na(fem)])
Sent from my iPad
On May 29, 2011, at 4:54, gaiarrido gaiarr...@usal.es wrote:
Here´s my problem,
i have developed the function kurtosis (using R-book as a guide) with this
commands:
kurtosis-function(x) {
m4-sum((x-mean(x))^4)/length(x)
s4-var(x)^2
m4/s4 - 3 }
Because your header contains strings that are not legal names. Check out the
parameter check.name (cannot tell for sure since R is not available on the
iPad).
Sent from my iPad
On May 29, 2011, at 5:17, rmje robinmje...@gmail.com wrote:
On 05/28/2011 12:54 PM, Ben Haller wrote:
1. Is my choice of glmnet() ok? On what basis should I choose
glmnet() vs. lars()?
LARS is for linear regression; your outcome is binary.
2. Is the way I'm scaling the variables before calling glmnet()
correct? Or should the squares themselves be
Dear Roger,
Thanks for the reply.
I have discovered that the problem was in NA data for the last two months
appeared after loading from .csv file. The problem was solved applying the
complete.cases() function.
Sergius.
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Dear members of R forum,
I'm trying to perform a simply dynamic programming model in R, following the
reccomendations of Soetart Herman (A practical guide to ecological
modeling). However, I've obtained a number of problems, that I'm unable to
solve (even thoughI've tried during at least 2
On 05/29/2011 06:07 AM, garciap wrote:
V-fitness*(c+dive*pfood, t+1)
What are you trying to do in this line? Multiply fitness by two
different things at once? The expression
(1,2)
Causes problems in R. If you want to combine them into a vector, you need
c(1,2)
Otherwise, please go
it should be
findFreqTerms instead of findfreqTerms.
m
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it should be
findFreqTerms instead of findfreqterms.
m
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On Sat, May 28, 2011 at 5:22 PM, thierrydb thierr...@gmail.com wrote:
Is there an elegant way to do operations (+/-/*/ / ) on zoo/xts objects when
one serie is monthly (end of month) and the other daily (weekdays only) -
typically a monthly economic indicator and a stock index price?
Merge
On May 29, 2011, at 5:10 AM, ashley wrote:
Thanks Josh,
This makes sense. The coefficient of one parameter is given in
reference to
another parameter. (Aha! The reference parameter.)
I'm still a little confused on the standard errors (SEs) and why
they change
too? Should I change the
I may be being dopey, I surely am, but I'm baffled by this. I've been
working, on and off for a few days in R version 2.13.0 (2011-04-13)
i386-pc-mingw32/i386 (32-bit) working it through ESS.
I've got a dataframe created a couple of days back, during the session:
dim(AllDat)
[1] 2727094
I
Chris -
If you check the documentation for the $ operator,
for example by typing
help($)
you'll find (among a lot of other information):
name: A literal character string or a name (possibly backtick
quoted). For extraction, this is normally (see under
Sounds like a hardware problem to me, since I do not expereice any
problems with the example you gave at first. Is this all on the same
hardware?
Uwe Ligges
On 27.05.2011 18:38, Chris Chapman wrote:
I've run into persistent problems with OpenBUGS crashing when using BRugs .53
and .71, and
Hi all,
sometime in the past I accidentaly created a copy of the c()
primitive function inside my ``laboratory'' workspace, which I
normally use to experiment and learn. As a consequence, c() stopped to
work correctly and started to return lists of symbols instead of
vectors, and today I had to
Dear R-users,
I am having trouble constructing nxn matrices involving calculations
conditions based on other tables.
Below I describe a simple example of what I am trying to do:
Given the Table A (n x m):
Species1
Species2
X
A1,1
A1,2
Y
A2,1
A2,2
Z
A3,1
A3,2
I want to
I thought it might have been that but stupidly didn't search on $ and
I can now see that the one partial match I tried would have been
ambiguous so $ hadn't resolved it. Patrick Burns tells me I could
have found this in the wonderful R inferno and I'm sure I could have,
probably have, read that
There is no way to prevent a user from messing up. No matter how many
things you put in to prevent such occurances, I have always found that
users find new ways to use your system that you never considered.
There is always the 'conflicts()' function that might help:
# create my 'c'
c -
Hi Marco,
I am sure theoretically it would be possible to make it so that copies
could not be made of base (or core) functions, but users will always
be able to shoot themselves in the foot if they try hard enough. I
think the usual recommendation is just not to use common function
names for
Hi,
I'm not sure if this is impossible or if I just don't know the syntax.
example:
library(reshape);
library(corpcor);
data-data.frame(ids=c(A,A,A,B,B,B),rate=c(12,14,17,10,8,5),sample=c(100,80,60,50,40,45));
data_melted-melt.data.frame(data,id.vars=c(ids),measure.vars=c(rate,sample));
#the
Or just include is.na=TRUE in the definition of kurtosis():
kurtosis-function(x) {
m4-sum((x-mean(x,na.rm=TRUE))^4,na.rm=TRUE)/length(x)
s4-var(x,na.rm=TRUE)^2
m4/s4 - 3 }
HTH
Stephan
Am 29.05.2011 11:34, schrieb Jim Holtman:
kurtosis(fem[!is.na(fem)])
Sent from my iPad
On May 29,
Hello,
I'm trying to plot a series of pages in a pdf with one main caption for
each page.
Each page should then have two plots in one row, preferably with an own
caption.
I can't plot the main caption in a window, and subsequently plot the two
graphics (next to each other) below it.
Here is
That's it.
thanks very much, I save hours if work qith your reply
-
Mario Garrido Escudero
PhD student
Dpto. de Biología Animal, Ecología, Parasitología, Edafología y Qca. Agrícola
Universidad de Salamanca
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Hello!
The question should be very naive, but I am a beginner and stuck with
this unfortunately.
There is a dataset of people's affiliation to companies that looks
like that (a data frame actually)
x y
1 a X
2 b X
3 c X
4 f Z
5 e Z
6 g Z
where x is a name of a person and y is a company name.
Hey all,
I seem to be having trouble fitting a spline to a large set of data using
PSpline. It seems to work fine for a data set of size n=4476, but not for
anything larger (say, n=4477). For example:
THIS WORKS:
-
random = array(0,c(4476,2))
random[,1] =
merge() should do the trick. Using strings instead of factors works
better, though.
Sarah
On Sun, May 29, 2011 at 4:51 PM, Philipp Chapkovski
chapkov...@gmail.com wrote:
Hello!
The question should be very naive, but I am a beginner and stuck with
this unfortunately.
There is a dataset of
Philipp -
I believe you're looking for the merge function.
If you need more guidance, please provide a meaningful
reproducible example.
- Phil Spector
Statistical Computing Facility
Hi Philipp,
## Read in your data
## posting the output of dput() would have made our lives easier
d1 - read.table(textConnection(x y
1 a X
2 b X
3 c X
4 f Z
5 e Z
6 g Z), header = TRUE, row.names = 1)
d2 - read.table(textConnection( y1 y2
1 X W
2 Z W), header = TRUE, row.names = 1)
Hi
On 29/05/2011 2:02 a.m., Dennis Murphy wrote:
Homework question?
Indeed it is.
Dear 220 student. The resources at your university, including your
lecturer, should be your first port of call for questions on labs and
assignments. Also, if you ever post questions on a forum like this
Use the smooth.spline() function in stats package. This is more stable.
?smooth.spline
Ravi.
From: r-help-boun...@r-project.org [r-help-boun...@r-project.org] On Behalf Of
guy33 [david.res...@magd.ox.ac.uk]
Sent: Sunday, May 29, 2011 1:30 PM
To:
Hi, I'm a student studing for Math. Infor. Ing. in Tirana,Albania and a have
a final project in R to finish in a week, so I badly need your help...
The topic of the project is Hermite Interpolation and a I have allready done
a script that finds the approximation in a certan point x, H(x)
Uwe -- thank you. No, this occurs on three different machines: two at work
(a Lenovo laptop running Win7-32, plus an HP workstation running Win7-64)
... and I just tried another Compaq desktop machine at home running
WinXP-32, with the same result.
I agree that this seems highly unusual
Ravi,
Thanks so much! You're right, smooth.spline does work on larger n.
Although, for some reason it's results are different (slightly less good?,
but I'm not sure). For example, on the simple doppler function below,
sm.spline seems to be closer to the true function than smooth.spline:
Hi
Also , same problem to create discrete uniform Distribution ,
But sample () and runif() not useful to generate discrete uniform .
Ex:
u-round(runif(10*10,min=1,max=10),0)
table(u)
u
1 2 3 4 5 6 7 8 9 10
6 10 9 10 14 6 11 14 12 8
Not useful for large number
OR
#
Hi Serdar,
Take a look at the following:
sample(0:9, 100, replace = FALSE)
Error in sample(0:9, 100, replace = FALSE) :
cannot take a sample larger than the population when 'replace = FALSE'
sample(0:9, 100, replace = TRUE)
[1] 5 6 5 7 3 0 8 4 8 2 2 4 7 6 0 7 0 0 0 7 5 6 3 6 0 9 6 1 2 6 9
Hi all,
My code:
x - scan(gzfile(file),what='integer')
x is imported, but as mode character rather than integer. I know I
can do as.integer() when importing, but am still trying to figure out
why the above occurs. When I do
summary(as.integer(x)), there are no NAs introduced by coercion, so
the
Try giving what an example of an integer instead
of the character string integer. E.g.,
what = 0L
or
what = integer(0)
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
-Original Message-
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf
hi all,
I'm full of questions today :). Thanks in advance for your help!
Here's the problem:
x - c('18x.6','12x.9','302x.3')
I want to get a vector that is c('18x','12x','302x')
This is easily done using this code:
unlist(lapply(strsplit(x,.,fixed=TRUE),function(x) x[1]))
So far so good. The
Try this approach:
x - c('18x.6','12x.9','302x.3')
gsub(^(.*)\\..*, '\\1', x)
[1] 18x 12x 302x
On Sun, May 29, 2011 at 8:10 PM, Matthew Keller mckellerc...@gmail.com wrote:
hi all,
I'm full of questions today :). Thanks in advance for your help!
Here's the problem:
x -
Hi Matt,
There are likely more efficient ways still, but this is a big
performance boost time-wise for me:
x - c('18x.6','12x.9','302x.3')
gsub(\\.(.+$), , x)
x - rep(x, 10^5)
system.time(out1 - unlist(lapply(strsplit(x,.,fixed=TRUE),function(x)
x[1])))
user system elapsed
2.89
Not a new approach, but some benchmark data (the perl=TRUE speeds up Jim's
suggestion):
x - c('18x.6','12x.9','302x.3')
y - rep(x,10)
system.time(temp - unlist(lapply(strsplit(y,.,fixed=TRUE),function(x)
x[1])))
user system elapsed
1.203 0.018 1.222
system.time(temp2 -
Hi Matt,
Though it's the last solution on your list, I would treat this as a
text editing problem: just find and replace \.[0-9], then read in
the result.
perl -pi -e 's/x\.[0-9]//g' *test.txt
likely done in seconds.
But other R solutions seem to be coming in in a fairly timely manner too.
t
Yes, you are right that the results of smooth.spline are slightly worse than
that of sm.spline.
The Doppler function is tricky. At small `x' values, it oscillates rapidly.
Hence it is not surprising that the smoothers do not do as well.
Here is a noisy version of your Doppler function. I
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