I am hoping for some advice as to whether the following task can be
performed in R?
I have a spreadsheet with 325 rows x 3 columns. The data was collected from
40 individuals who in most instances generated 8 bi-polar constructs (the
poles are separated by //). The first column is the
Open Excel, select the data and press ctrl-C.
In R, type this line at the console to
read the clipboard into a data frame DF (or
see the section on Excel in the R Import/Export
manual for other ways):
DF - read.delim(clipboard, header = TRUE)
Now you can do this:
DF[rep(1:nrow(DF), each =
--- Frank E Harrell Jr [EMAIL PROTECTED]
wrote:
That will be a very strange model that I've never
seen used before in
survival analysis. Interpretation of parameters
other than the hazard
ratio may be tricky. Why do you need a
nontraditional model such as this?
Frank
--
Frank
There is some generalized F code (which would
include many other parameteric survival models as
submodels) at this page. The R package seems
somewhat non-standard in terms of installation
and I have not tried it:
http://www.math.mun.ca/~ypeng/research/
On 7/8/06, Valentin Dimitrov [EMAIL
Dear List,
I have been unable fo find the package quadplot3d referred in the
Abstract/Presentation Four Dimensional Barycentric Plot in 3D presented in
the UserR!2006.
Does anyone know if it is available ? And if so, if it is ported to Windows
?
Thanks in anticipation,
Carlos Ortega
Hi
It seems that survfit() doesn't accept the argumnet 'error' as below
survfit(fit, error='greenwood')
Error in survfit.coxph(fit, error = greenwood) :
unused argument(s) (error ...)
Isn't is allowed to do that for a coxph object?
Regards Soren
Windows XP, SP2
R 2.3.0
Questions about packages should be directed to the package maintainers.
A more concise example of the difficulty, with accessible data would
also be helpful.
url:www.econ.uiuc.edu/~rogerRoger Koenker
email [EMAIL PROTECTED] Department of Economics
I have a dataset with a variable that is non-numeric. I was wondering
if there is an easy way in R to create a bar graph that will tell me
how many of each level of this non-numeric variable are in the overall
dataset.
Specifically, if my variable is LETTER, and I have A, B,C, D, E, F and
I want
justin rapp wrote:
I have a dataset with a variable that is non-numeric. I was wondering
if there is an easy way in R to create a bar graph that will tell me
how many of each level of this non-numeric variable are in the overall
dataset.
Specifically, if my variable is LETTER, and I have
Carlos Ortega wrote:
Dear List,
I have been unable fo find the package quadplot3d referred in the
Abstract/Presentation Four Dimensional Barycentric Plot in 3D presented in
the UserR!2006.
Does anyone know if it is available ? And if so, if it is ported to Windows
?
I think we should
Dear friends,
I used R to analyze my data with the models of generalized linear models,
and found three models were relatively good, but i can't decide which is the
best,how should i do ?
*Model1:*
glm(formula = snail ~ grass + gheight + humidity + altitude + soiltem +
airtem + grass:altitude,
Greetings:
I wish to use a tcl/tk widget to ask for user-selected parameter values. My
widget works it asks for and returns to my workspace the stuff I need.
Here is a snippet of my code:
###
OnOK - function()
{
LOG.X -
For my previous email on this thread, I couldn't find Jim Lindsey's
home page. I just found it via www.r-project.org - Search
- R Site Search - Jim Lindsey's packages. This led me to
http://popgen.unimaas.nl/~jlindsey/rcode.html;.
... just in case someone following this
With thanks to Matrix package co-author Martin
Maechler, I'm happy to report satisfactory closure
of two recent threads I initiated about that package:
- Warning while subsetting with Matrix
- R Crash with 'library(Matrix);as(x,dgCMatrix)
In the first, I reported seeing a warning
This seems like a question that I should be able to answer on my own
but after looking at the documentation I cannot seem to find the
correct method.
How do I add lines to a bar plot that extend from the vertical axis?
For example, my vertical axis is numbered in increments of 10 and I
would like
I believe that regression coefficients can change signs in partial
least squares (pls) or in the related structural equation modeling (sem)
for roughly the same reasons they can change sign in ordinary least
squares (ols). Both PLS and SEM essentially assume that the
'independent'
I apologize for my constant questions but I am new to R and trying to
gain an appreciation for its capabilities. The following task is easy
in Excel and I was hoping somebody could give me a quick explanation
for how it can be acheived in R so I can avoid having to switch
between the two
On 7/8/2006 3:44 PM, justin rapp wrote:
I apologize for my constant questions but I am new to R and trying to
gain an appreciation for its capabilities. The following task is easy
in Excel and I was hoping somebody could give me a quick explanation
for how it can be acheived in R so I can
When I attempt to use the mysummary function, I obtain the following error:
Error in var(x) : missing observations in cov/cor
When I use:
by(data.logistic,data.logistic$Ydrafted,summary)
I receive no errors. I cut and pasted your mysummary function directly
into my r console. Should I have
On 7/8/2006 4:55 PM, justin rapp wrote:
When I attempt to use the mysummary function, I obtain the following error:
Error in var(x) : missing observations in cov/cor
var() gives that error if it sees NA values. You can get it to remove
them by using
var(x, na.rm = TRUE)
instead of var(x).
hello
I make a subroutine that give-me a (mathematical)
function in string format.
I would like transform this string into function ( R
function ).
thanks for any tips.
cleber
#e.g.
fun_String = -100*x1 + 0*x2 + 100*x3
fun - function(x1,x2,x3){
return(
evaluation( fun_String )
fun_String - -100*x1 + 0*x2 + 100*x3
fun - function(x1, x2, x3){
+ eval(parse(text = fun_String))
+ }
fun(4:0, -2:2, 0:4)
[1] -400 -2000 200 400
Best,
Renaud
2006/7/8, Cleber N.Borges [EMAIL PROTECTED]:
hello
I make a subroutine that give-me a (mathematical)
function in
I would be very grateful to anyone who could point to the error of my
ways in the following.
I have a dataframe called net1, as such:
str(net1)
`data.frame':114192 obs. of 9 variables:
$ server : Factor w/ 122 levels AB93-99,AMP93-1,..: 1 1 1
1 1 1 1 1 1 1 ...
$ ts
Hello,
I am struggling to understand how denominator degrees of freedom and
subsequent significance testing based upon them works in nlme models.
I have a data set of 736 measurements (weight), taken within 3
different age groups, on 497 individuals who fall into two
morphological catagories
Well, this worked, and rather more quickly than I had expected.
Many thanks to the dogs, who told me the answer in return for walking
them and feeding them!
jj - eval(parse(text=paste(sep= ,rbind(,paste(sep=
,t1[[,1:length(t1),]],collapse=,),
str(jj)
`data.frame': 85644 obs. of 4
From: justin rapp [EMAIL PROTECTED]
Date: Sat Jul 08 14:05:12 CDT 2006
To: r-help@stat.math.ethz.ch
Subject: [R] Adding Lines to Plot
i'm not definite on this and even
if it works , it;s not the most
efficient
but
abline(h=10)
abline(h=20)
abline(h=30)
etc
i'd be curious if that works on a bar
A couple of suggestions:
1. This screams out for do.call. Try jj - do.call(rbind, t1).
2. Use rowSums() instead of apply(..., 1, sum).
Andy
_
From: [EMAIL PROTECTED] on behalf of Mike Nielsen
Sent: Sat 7/8/2006 7:20 PM
To: r-help@stat.math.ethz.ch
Subject: Re: [R] Combining a list
Evening folks:
I did an install.views of finance and econometrics and between the two of
them R reported 'FracSim', 'RDCOMClient', 'snow', 'VGAM', and 'segmented'
as missing dependencies. Now, I've managed to hunt down what appear to be
current zip file copies of all of the packages but
Here's one long-winded way of going about it, using R's ability to
manipulate functions as first class objects:
f.string
[1] x1 + sqrt(3*x2)
p.string - parse(text=f.string)
f - function() {}# empty function
v - all.vars(p.string) # all the variables in the expression
a -
i played around and i get the hang of save and load. I just
have two final questions :
1) is loading the RandomFields package the only
way to check if a file ( created through the save function )
is out there or not ? Because, I generally won't know if one has
been created yet or not.
2)
In the Matrix package v. 0.995-11 I see that the dgTMatrix
Class for compressed, sparse, triplet-form matrices handles
Identically indexed data instances by summing their values,
e.g.,
library(Matrix)
(Mt - new(dgTMatrix,
i = as.integer(c(0,0,1,1,4)),
j = as.integer(c(0,1,2,2,4)),
x =
justin rapp wrote:
I have a dataset with a variable that is non-numeric. I was wondering
if there is an easy way in R to create a bar graph that will tell me
how many of each level of this non-numeric variable are in the overall
dataset.
Specifically, if my variable is LETTER, and I have
Gabor Grothendieck [EMAIL PROTECTED] wrote:
On 7/7/06, Deepayan Sarkar [EMAIL PROTECTED] wrote:
On 7/7/06, Gabor Grothendieck [EMAIL PROTECTED] wrote:
Could you explain what panel.groups= does and what the difference
is between panel.groups= and panel= ? In ?xyplot it just says:
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