On Apr 18, 2013, at 21:24 , Nilesh Gupta wrote:
Hello all
Is there a method/package in R in which I can do regressions for more than
50 independent variables ?
What's wrong with lm() et al.?
--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3,
Simon,
that was very instructivevery special thanks to you.
I already noticed that the model was bad, but it was not clear to me that
transformation of predictors to, say a more centered distribution is helpful
here.
And thanks for pointing out Tweedie, I noticed that the error structure is
lm() does not accomodate more than 50 independent variables
The woods are lovely, dark and deep
But I have promises to keep
And miles before I go to sleep
And miles before I go to sleep
-
On Fri, Apr 19, 2013 at 12:26 PM, peter dalgaard pda...@gmail.com wrote:
On Apr 18, 2013, at 21:24 ,
On Apr 19, 2013, at 12:40 AM, Nilesh Gupta wrote:
lm() does not accomodate more than 50 independent variables
What is your source for this misinformation?
dat - as.data.frame(matrix(rnorm(51000), ncol=51) )
names(dat)
[1] V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12
V13 V14 V15 V16 V17
Hi R community,
I am running R version 2.15.3 (2013-03-01) -- Security Blanket on a Linux
Ubuntu 12.10 i686
I tried to install EDCR from :
ftp://orpheus.pfeg.noaa.gov/outgoing/EDC/R/EDCR_1.0_R_i686-pc-linux-gnu.tar.gz
Dependencies (namely ncdf4) are installed.
Install goes fine (at list it seems
Dear Suzen,
Thank you for your reply.
I don't know why but it looks like my previous mail was truncated.
Here is the R function (described in the step #4 in my previous mail) that I
wrote. It contains .Fortran but like I said earlier, it didn't work.
Dear Arun,
On Tue, Apr 16, 2013 at 10:45 PM, arun smartpink...@yahoo.com wrote:
Another method would be:
Xc- Xa
Xc$var1-NA; Xc$var2- NA
Xc[]- append(as.list(Xa),as.list(Xb))
Unfortunately this is still too convoluted and error prone. And
mutate() doesn't work for me, as I generate the new
Dear R-People,
I am trying to measure distances between an empiric vector and two random
vectors.
Since one of the synthetic vectors has different length from the empirical
one, I tried to introduce 0s to make all vectors have the same length, but
this introduces a bias in the measurement.
But that's not how to specify a multivariate regression. It's a univariate
regression with a huge sum on the left hand side.
On Apr 19, 2013, at 13:51 , Nilesh Gupta wrote:
I used this link
http://r.789695.n4.nabble.com/model-frame-and-formula-mismatch-in-model-matrix-td4664093.html
Hi,
I am not sure I understand your question correctly.
set.seed(25)
mydata-
data.frame(vol3=sample(1:20,20,replace=TRUE),vol4=sample(5:45,20,replace=TRUE),vol15=sample(25:50,20,replace=TRUE),vol20=sample(30:60,20,replace=TRUE),week=rep(1:4,each=5))
funct- function(target,data=NULL){
target-
Jonathan,
This is not what we call a reproducible example... what is raw_data? Does it
have something to do with mydata?
what is i?
Roger
url:www.econ.uiuc.edu/~rogerRoger Koenker
emailrkoen...@uiuc.eduDepartment of Economics
vox: 217-333-4558
Dear Rui,
Thanks for the pointer.
On Tue, Apr 16, 2013 at 8:12 PM, Rui Barradas ruipbarra...@sapo.pt wrote:
setdiffDF2 - function(A, B){
f - function(X, Y)
!duplicated(rbind(Y, X))[nrow(Y) + 1:nrow(X)]
ix1 - f(A, B)
ix2 - f(B, A)
ix1 ix2
}
ix - setdiffDF2(Xe, Xf)
Roger:
Doh! Just realized I had that error in the code -- raw_data is the same as
mydata, so it should be:
mydata - read.csv(singular.csv)
plot(mydata$predictor,mydata$response)
# A big cloud of points, nothing too weird
summary(mydata)
# No NAs:
# Xresponse predictor
Hi All, when doing CVlm cross validation, I would just like to view the
overall MS but i am having trouble getting just this value. I'm kina new to
R.
Any help really appreciates.
Cheers,
Ben
--
View this message in context:
Hiya,
I am trying to look at the similarities between a number of
sequences, for example i am trying to see how similar ababbbassdaa is to
addffggssbbsbbs I was wondering is the some way for me to see how similar
they are in terms of, for example, number of a's, number of b's, how
I used this link
http://r.789695.n4.nabble.com/model-frame-and-formula-mismatch-in-model-matrix-td4664093.html
Regards
The woods are lovely, dark and deep
But I have promises to keep
And miles before I go to sleep
And miles before I go to sleep
-
On Fri, Apr 19, 2013 at 2:19 PM, David
Several changes in R and in Java broke the code in EDCR. We have in beta a new
version that fixes these problems. I will be certain to let you know when it
is ready.
-Roy M.
On Apr 19, 2013, at 4:11 AM, ltdm luis.tito-de-mor...@ird.fr wrote:
Hi R community,
I am running R version
Dear R-users,
I would like to know whether there is a way to extract a diagonal of an inverse
matrix without computing the inverse of the matrix itself. The size of my
matrices are really huge and, also using sparse matrix, computing the inverse
leads to storage problems and low speed.
In
Dear All,
I like very much figure 2.a) and 2.b) of this paper
http://www.nature.com/srep/2013/130410/srep01640/pdf/srep01640.pdf
and I probably need a similar visualization.
Is anything like that doable in R? I have some experience with R and
gadm (gadm.org), but that is only to produce maps
I am cleaning up the rms package to not export functions not to be called
directly by users. rms uses generic functions defined in other packages.
For example there is a latex method in the Hmisc package, and rms has a
latex method for objects of class anova.rms so there are anova.rms and
On Fri, Apr 19, 2013 at 3:13 PM, Lorenzo Isella
lorenzo.ise...@gmail.com wrote:
Dear All,
I like very much figure 2.a) and 2.b) of this paper
http://www.nature.com/srep/2013/130410/srep01640/pdf/srep01640.pdf
and I probably need a similar visualization.
Is anything like that doable in R? I
Hi,
May be
library(Biostrings) from Bioconductor helps you.
source(http://bioconductor.org/biocLite.R;) biocLite(Biostrings)
?matchPattern()
?letterFrequency()
vec1- ababbbassdaa
alphabetFrequency(DNAString(vec1))
#A C G T M R W S Y K V H D B N - +
#5 0 0 0 0 0 0 2 0 0 0 0 1 4 0 0 0
I am trying to read a csv file using the code;
contol - read.csv(RBS.csv)
This is the error message I got;
Error in file(file, r) : unable to open connection
In addition: Warning message:
In file(file, r) :
cannot open file 'RBS.csv', reason 'No such file or directory'
Where was the mistake?
--
Make sure you have the correct path to the file.
On Apr 19, 2013 10:53 AM, Gafar Matanmi Oyeyemi gmoyey...@gmail.com
wrote:
I am trying to read a csv file using the code;
contol - read.csv(RBS.csv)
This is the error message I got;
Error in file(file, r) : unable to open connection
In
Are you sure the file is in your current working directory? Often people
simply put the full path such as /Users/Name/RBS.csv
Cheers,
On Fri, Apr 19, 2013 at 9:30 AM, Gafar Matanmi Oyeyemi
gmoyey...@gmail.comwrote:
I am trying to read a csv file using the code;
contol - read.csv(RBS.csv)
Dear Gafar Matanmi Oyeyemi,
Re:
I am trying to read a csv file using the code;
contol - read.csv(RBS.csv)
This is the error message I got;
Error in file(file, r) : unable to open connection
In addition: Warning message:
In file(file, r) :
cannot open file 'RBS.csv', reason 'No such file
Not sure this fixes your problem, but as far as I can know (and can tell from
the manual: http://cran.r-project.org/doc/manuals/r-release/R-exts.pdf),
importFrom needs to know what functions you are importing [e.g.
importFrom(Hmisc, latex) importFrom(stats, anova)].
-Original
Hi Frank,
The problem is you can't lump together multiple S3 methods. Instead of:
S3method(latex, anova.rms, bj, cph, Glm, Gls, lrm, naprint.delete, ols,
pphsm, psm, rms, Rq, summary.rms, validate)
You need
S3method(latex, anova.rms)
S3method(latex, bj)
S3method(latex, cph)
etc.
Hadley
Right, I should have said import(Hmisc) instead of importFrom(Hmisc), but
that does not explain the error message.
Blaser Nello wrote
Not sure this fixes your problem, but as far as I can know (and can tell
from the manual:
http://cran.r-project.org/doc/manuals/r-release/R-exts.pdf),
Also combining the code for figures 6.5, 13.8 and 13.9 in the following link
http://lmdvr.r-forge.r-project.org/figures/figures.html
gets you there.
On Fri, Apr 19, 2013 at 8:38 AM, Barry Rowlingson
b.rowling...@lancaster.ac.uk wrote:
On Fri, Apr 19, 2013 at 3:13 PM, Lorenzo Isella
Dear Liviu,
May be you can use the method mentioned in the link:
http://stackoverflow.com/questions/10404224/how-to-delete-a-row-from-a-data-frame-without-losing-the-attributes
str(Xa)
#'data.frame': 150 obs. of 5 variables:
# $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
# $
Thanks David! I do get confused sometimes when sth can be easily and
directly done in Excel which is what I am familiar with, but I find it
takes more time for me to operate that in R.
On Thu, Apr 18, 2013 at 4:27 PM, David Winsemius dwinsem...@comcast.netwrote:
On Apr 18, 2013, at 3:46 PM,
On Apr 19, 2013, at 4:51 AM, Nilesh Gupta wrote:
I used this link
http://r.789695.n4.nabble.com/model-frame-and-formula-mismatch-in-model-matrix-td4664093.html
But you said 50 independent variables, and that was probably someone's (failed)
effort to submit 50 _dependent_ variables. What is
I believe that those repeated values (more than half your x values are 0.0)
are causing bs() problems, because its default knots are at quantiles of the
data
at equally spaced probabilities. The following may be the same problem:
set.seed(1)
x - c(rep(0, 20), 1:15)
y - sort(rnorm(length(x)))
First, do you know what a multivariate multiple (linear) regression
means? As opposed to (univariate) multiple (linear) regression. As
others have pointed out, the example referred to is of univariate
multiple linear regression.
Second, and more importantly, have you yourself tried doing the
Thanks A.K
Is it possible to apply this to a more complicated situation , for example,
I have an ID column for each row, say:
ID Gender Age Rate
A Female0-10 Good
A Male0-10 Good
B Female 11-20 Bad
B Male 11-20 Bad
C Male
Dear colleagues I have a couple of problems related with binary logistic
regression.
The first problem is how to compute Pearson and Likelihood chi-squeared
tests for grouped data.
For the same form of data set how to compute sensitivity, specificity and
related measures.
When I speak about
On Apr 19, 2013, at 19:15 , Nilesh Gupta wrote:
cbind( X1,X2,X3,X4,X5,X6,X7, ... ,X2393,X2394,X2395 )~ R_M_F+SMB+HML+WML
I ran this code in the formula for i wanted to regress 2395 stocks for 500
months each on the three independent variables.
I got this error . The idea was to run
Hi,
In the example given, there is only one female and one male for ID A.
dat1- read.table(text=
ID Gender Age Rate
A Female 0-10 Good
A Male 0-10 Good
B Female 11-20 Bad
B Male 11-20 Bad
C Male 20 N/A
library(ggplot2)
library(gridExtra)
#generate test precipitation data
year-c(2000,2001,2002,2003,2004)
precip-c(46,100,80,74,20)
yp-data.frame(year, precip)
#generate test fecal coliform data
year2-c(2000,2000,2000,2000,2000,2000,2000,2000,2000,2000,
Now I see it. S3method() wants two arguments so I need to create multiple
S3method() statements for each generic.
Frank
Frank Harrell wrote
Right, I should have said import(Hmisc) instead of importFrom(Hmisc), but
that does not explain the error message.
Blaser Nello wrote
Not sure this
On 19/04/2013 19:16, Frank Harrell wrote:
Now I see it. S3method() wants two arguments so I need to create multiple
S3method() statements for each generic.
Sort of. It actually accepts two or three arguments: see package
'tools' for an example of using three.
Frank
Frank Harrell wrote
Please read the attach file.
Thank you
Endy
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained,
On Apr 19, 2013, at 11:45 AM, Endy BlackEndy wrote:
Please read the attach file.
Please re-read : http://www.r-project.org/mail.html#instructions
Thank you
Endy
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Hi all,
Thanks for the quick replies.
Dennis - I tried rotating the y-axis tick labels 90 degrees and while the
x-axes became the same width, the x-axis values still didn't line up with
each other. So maybe I need to be more clear - how can I get the x-axis
tick values to line up? For example,
Dear R-users,
I have a dataset as like below, and I want to subtotal the values of rice,wheat
and maize by year for each fid.
fid year rice wheat maize
1 1995 5 NA NA
1 1995 NA 3
The beta shall be 4X2398 because there shall be an additional column of the
const. which is not fed into the X matrix in R
The woods are lovely, dark and deep
But I have promises to keep
And miles before I go to sleep
And miles before I go to sleep
-
On Fri, Apr 19, 2013 at 10:56 PM, Nilesh
Merci beaucoup Milan, thank you very much Martin and Kjetil for your
responses.
I appreciate the caveat about virtual memory. I gather that besides
resident memory and swap space, it may also include memory mapped files,
which don't cost anything. Maybe by pure chance, in my case virtual
memory
Dear Arun,
On Fri, Apr 19, 2013 at 6:30 PM, arun smartpink...@yahoo.com wrote:
Dear Liviu,
May be you can use the method mentioned in the link:
http://stackoverflow.com/questions/10404224/how-to-delete-a-row-from-a-data-frame-without-losing-the-attributes
This approach is still much too
cbind( X1,X2,X3,X4,X5,X6,X7, ... ,X2393,X2394,X2395 )~ R_M_F+SMB+HML+WML
I ran this code in the formula for i wanted to regress 2395 stocks for 500
months each on the three independent variables.
I got this error . The idea was to run multivriate regressions on each of
these stocks.
Error in
Ranjan
I have multiple y's(stocks,2300 odd) which i want to run on 3 variables.
for 500 months. I assume this is multivariate regression for there are
multiple y's and multiple X's
as compared to univariate multiple regression wherein there is only one y
and there are more than X's. If I were to
Dear colleagues I have a couple of problems related with binary logistic
regression.
The first problem is how to compute Pearson and Likelihood chi-squeared
tests for grouped data.
For the same form of data set how to compute sensitivity, specificity and
related measures.
When I speak about
Hello,
Try the following.
dat - read.table(text =
fid year rice wheat maize
11995 5NA NA
11995 NA3 NA
11995 NA NA 2
11996 4NA NA
11996 NA
To avoid the formula handling bug in lm/model.matrix/etc., you can try making
the
formula shorter. E.g., if you know the names of your response columns,
responseCols - c(X1, X2, X3, ..., X2395)
try the formula
as.matrix(d[, responseCols]) ~ d[,R_M_F] + d[,SMB] + d[,HML] +
d[,WML]
and do
Hello Shyam,
This is one way to do it
jd1 - read.table(text=
fid year rice wheat maize
11995 5NA NA
11995 NA3 NA
11995 NA NA 2
11996 4NA NA
11996
Hi,
Try this:
dat1- read.table(text=
ID Gender Age Rate
A Female 0-10 Good
A Male 0-10 Good
B Female 11-20 Bad
B Male 11-20 Bad
C Male 20 N/A
,sep=,header=TRUE,stringsAsFactors=FALSE,na.strings=N/A)
library(plyr)
You can also use this short command.
library(plyr)
ddply(jd1,.(fid,year),colSums,na.rm=T)
Janesh
On Fri, Apr 19, 2013 at 2:30 PM, Janesh Devkota janesh.devk...@gmail.comwrote:
Hello Shyam,
This is one way to do it
jd1 - read.table(text=
fid year rice wheat maize
1
Hello,
You don't need as.matrix(), the following will do.
aggregate(dat[, 3:5], by = list(dat$year, dat$fid), FUN = sum, na.rm = TRUE)
Rui Barradas
Em 19-04-2013 20:24, Rui Barradas escreveu:
Hello,
Try the following.
dat - read.table(text =
fid year rice wheat maize
1
#or
ddply(jd1,.(fid,year),numcolwise(sum,na.rm=TRUE))
# fid year rice wheat maize
#1 1 1995 5 3 2
#2 1 1996 4 2 6
#3 2 1995 3 8 4
#4 2 1996 7 6 7
A.K.
- Original Message -
From: Janesh Devkota janesh.devk...@gmail.com
To: shyam
Thanks, Arun. I was also trying to come up with that solution.
On Fri, Apr 19, 2013 at 2:43 PM, arun smartpink...@yahoo.com wrote:
#or
ddply(jd1,.(fid,year),numcolwise(sum,na.rm=TRUE))
# fid year rice wheat maize
#1 1 19955 3 2
#2 1 19964 2 6
#3 2 19953
Adding this to the first plot object seems to come pretty close:
yp_plot + xlim(1999.6, 2004.4)
I also tried adding and subtracting 0.5. It does not appear that 0.4 is an
exact solution.
--
David
On Apr 19, 2013, at 8:49 AM, Saalem Adera wrote:
Hi all,
Thanks for the quick replies.
Dear expeRts!
when I try summarize data using tabular of tables package..
here is an example..
a -
data.frame(a=rep(10,10),b=round(runif(10,10,20)),c=round(runif(10,40,50)))
a
a b c
1 10 14 44
2 10 17 40
3 10 13 40
4 10 18 40
5 10 11 49
6 10 16 46
7 10 15 43
8 10 19 49
9 10 19 49
Does any one have a sample code for a Spider Plot as attached?
Thanks,
Xing
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide
Are you sure that it is not just telling you that it cannot tabulate on a since
it only has one value?
John Kane
Kingston ON Canada
-Original Message-
From: santosh2...@gmail.com
Sent: Fri, 19 Apr 2013 13:29:05 -0700
To: r-help@r-project.org
Subject: [R] tables package - error
Xing,
I cannot open the attachment. Can you attach the png file or pdf or any
other format ?
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of XINLI LI
Sent: Friday, April 19, 2013 3:30 PM
To: r-help
Subject: [R] Spider Plot
Does
Attachment did not make it. The list is picky about what it accepts. txt and
pdf both get through as IIRC png.
Anyway does ?stars help or it is more complicated?
John Kane
Kingston ON Canada
-Original Message-
From: lihaw...@gmail.com
Sent: Fri, 19 Apr 2013 14:29:58 -0600
To:
On Apr 19, 2013, at 1:29 PM, Santosh wrote:
Dear expeRts!
when I try summarize data using tabular of tables package..
here is an example..
a -
data.frame(a=rep(10,10),b=round(runif(10,10,20)),c=round(runif(10,40,50)))
a
a b c
1 10 14 44
2 10 17 40
3 10 13 40
4 10 18 40
5
install.packages('psych', repos='http://cran.rstudio.com', dep=TRUE)
require(psych)
spider(y=1,x=2:9,data=Thurstone)
On 19 April 2013 22:29, XINLI LI lihaw...@gmail.com wrote:
Does any one have a sample code for a Spider Plot as attached?
Thanks,
Xing
Rounding was done to replicate the problem I faced in the original data
set...
2 independent identifiers in a group (shown only for 1 of 7 groups) may
have same value of b or c.
On Fri, Apr 19, 2013 at 1:53 PM, David Winsemius dwinsem...@comcast.netwrote:
On Apr 19, 2013, at 1:29 PM, Santosh
On Apr 19, 2013, at 2:06 PM, Saalem Adera wrote:
Thanks! I really appreciate everyone's help. I was able to get the x-axes
ticks very close (close enough!) to lining up on the test data using both
Dennis and David's code. So, I've got a work-around. However, I need to do
this same
On Apr 19, 2013, at 2:03 PM, Santosh wrote:
Rounding was done to replicate the problem I faced in the original data set...
I got an error every time I tried to use digits=0. My basic rule is that if a
parameter choice consistently errors out ... stop using it. I'm fundamentally a
pragmatist.
This link
http://math.stackexchange.com/questions/18488/diagonal-of-an-inverse-of-a-sparse-matrix
might
help. It is about sparse matrices, but the general idea should be able to
be extended to non-sparse matrices as well.
On Fri, Apr 19, 2013 at 8:13 AM, Camarda, Carlo Giovanni
Hi Janesh,
There is a difference in output between these :
ddply(jd1,.(fid,year),colSums,na.rm=T) #especially the first two columns
# fid year rice wheat maize
#1 3 5985 5 3 2
#2 3 5988 4 2 6
#3 6 5985 3 8 4
#4 6 5988 7 6 7
Hi,
Try this:
dat1-
read.csv(Ye.csv,header=TRUE,stringsAsFactors=FALSE,sep=,,na.strings=N/A)
library(plyr)
library(reshape2)
lst1-lapply(seq(2,ncol(dat1)),function(i) {x1-
HI,
If you wanted to use colSums, may be this works:
ddply(jd1,.(fid,year),function(x) colSums(x[,-c(1,2)],na.rm=TRUE))
# fid year rice wheat maize
#1 1 1995 5 3 2
#2 1 1996 4 2 6
#3 2 1995 3 8 4
#4 2 1996 7 6 7
A.K.
- Original Message
Dear Rxperts!
Thanks for the suggestions...(esp. Dr. Mathemedician)! :)
I add one more factor level (a level higher to a) in the example..
a - data.frame(p=rep(c(A,B),each=10,len=30),
a=rep(c(1,2,3),each=10),id=seq(30),
b=round(runif(30,10,20)),
c=round(runif(30,40,70)))
Thanks! I really appreciate everyone's help. I was able to get the x-axes
ticks very close (close enough!) to lining up on the test data using both
Dennis and David's code. So, I've got a work-around. However, I need to
do this same operation for many other sets of plots, with varied data
Dear list,
I am trying to choose the scale parameter for the cgt transform but I don't
know how to do it. In time I would like to be able to separate points 30
samples apart, and in frequency I would like to separate bands 0.04 Hz
apart. I tried the two approaches described below and they gave
Dear list,
It seems that there is a typo in the book Practical Time-Frequency Analysis
that documents Rwave. The window that the cgt function of Rwave seems to be
using
g(x)=exp(-x^2/(2*sigma^2))
and not
g(x)=exp(-x^2/(2*sigma))
as stated in Equation (3.23) of the book. Also, it appears
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