Displaying 20 results from an estimated 1000 matches similar to: "rcorr.cens Goodman-Kruskal gamma"
2007 Dec 19
1
using rcorr.cens for Goodman Kruskal gamma
Dear List,
I would like to calculate the Goodman-Kruskal gamma for the predicted
classes obtained from an ordinal regression model using lrm in the Design
package. I couldn't find a way to get gamma for predicted values in Design
so have found previous positings suggesting to use :
Rcorr.cens(x, S outx = TRUE) in the Hmisc package
My question is, will this work for predicted vs
2003 Mar 11
1
Goodman / Kruskal gamma
The Goodman/Kruskal gamma is a nice descriptive rank-order
correlation statistic, often used in psychology. It is nice
because it is easy to understand. It takes all pairs of values
of each variable and asks whether they are congruent (S+ is the
number in the same order for both variables) or discordant (S-,
opposite ranking). The statistic is (S+ - S-)/(S+ + S-). It is
like tau except for the
2011 Mar 01
1
which does the "S.D." returned by {Hmisc} rcorr.cens measure?
Dear R-help,
This is an example in the {Hmisc} manual under rcorr.cens function:
> set.seed(1)
> x <- round(rnorm(200))
> y <- rnorm(200)
> round(rcorr.cens(x, y, outx=F),4)
C Index Dxy S.D. n missing
uncensored Relevant Pairs Concordant Uncertain
0.4831 -0.0338 0.0462 200.0000
2004 Jun 04
1
use of "rcorr.cens" with binary response?
Dear R-helpers,
I recently switched from SAS to R, in order to model the occurrence of
rare events through logistic regression.
Is there a package available in R to calculate the Goodman-Kruskal
Gamma?
After searching a bit I found a function "rcorr.cens" which should do
the job, but it is not clear to me how to define the input vectors? Is
"x" a vector with the fitted
2011 May 22
1
How to calculate confidence interval of C statistic by rcorr.cens
Hi,
I'm trying to calculate 95% confidence interval of C statistic of
logistic regression model using rcorr.cens in rms package. I wrote a
brief function for this purpose as the followings;
CstatisticCI <- function(x) # x is object of rcorr.cens.
{
se <- x["S.D."]/sqrt(x["n"])
Low95 <- x["C Index"] - 1.96*se
Upper95 <- x["C
2005 Sep 02
1
Calculating Goodman-Kurskal's gamma using delta method
Dear list,
I have a problem on calculating the standard error of
Goodman-Kurskal's gamma using delta method. I exactly follow the
method and forumla described in Problem 3.27 of Alan Agresti's
Categorical Data Analysis (2nd edition). The data I used is also from
the job satisfaction vs. income example from that book.
job <- matrix(c(1, 3, 10, 6, 2, 3, 10, 7, 1, 6, 14, 12, 0, 1, 9,
2011 Jun 21
0
relation between tdrocc AUC and c-statistic from rcorr.cens
I am using the rcorr.cens function from the Hmisc package and the time-dependent ROC curve obtained using tdrocc in the survcomp package.
I understand that the C statistic from rcorr.cens has to be subtracted from 1 if high values of the risk variable lower survival.
Given that I wonder what the connection is between that C statistic and the AUC from the tdrocc object. If they are substantially
2007 Aug 07
0
Goodman-Kruskal tau
On Wed, 1 Aug 2007, Upasna Sharma <upasna at iitb.ac.in> wrote:
> From: "Upasna Sharma" <upasna at iitb.ac.in>
> Subject: [R] Goodman Kruskal's tau
>
> I need to know which package in R calculates the Goodman Kruskal's
> tau statistic for nominal data. Also is there any implementation for
> multiple classification analysis (Andrews at al 1973) in R?
2011 Aug 19
1
Hmisc::rcorr on a 'data.frame'?
Dear all
?Hmisc::rcorr states that it takes as main argument "a numeric
matrix". But is it normal that it fails in such an ugly way on a data
frame? (See below.) If the function didn't attempt any conversion to a
matrix, I would have expected it to state that in the error message
that it didn't accept 'data.frame' objects in its input. Also, I
vaguely remember having used
2008 Nov 11
1
how to export results of rcorr into excel
Hi,
I try to export the outputs of rcorr into excel. but I got error message,"cannot coerce class "rcorr" into a data.frame". Actually i just need export part of results of this analysis,e.g. p-values or stat-values.
Does anyone have sort of exprience before or you can help on how to export subset of results of analysis?
Many Thanks!
Xin
2006 Apr 21
1
rcorrp.cens
Hi R-users,
I'm having some problems in using the Hmisc package.
I'm estimating a cox ph model and want to test whether the drop in
concordance index due to omitting one covariate is significant. I think (but
I'm not sure) here are two ways to do that:
1) predict two cox model (the full model and model without the covariate of
interest) and estimate the concordance index (i.e. area
2012 Sep 12
1
digit precision in p value of rcorr
Hi all,
Sorry about posting a really novice question.
I was able to run rcorr after converting the list to a matrix by your help.
I'm though wondering if there is any way to find out an exact p value as
the output only gave me 0 for P value as shown below.
I've added options(digits=10), which doesn't seem to help at all. Any help
would be appreciated.
P
D Prime T
2002 Sep 05
1
rcorr in Hmisc
Dear list,
I get the following message when I use rcorr in library "Hmisc"
------------------------------------------------------
> rcorr(lskPox0t30, type=c("spearman"))
Error in "[<-.data.frame"(*tmp*, is.na(x), value = 1e+30) :
matrix subscripts not allowed in replacement
------------------------------------------------------
I do not understand
2017 Sep 21
2
rcorr error in R stat
Hello,
Please keep this on the list, always cc r-help.
One of the files in your attachment is empty:
y <- read.csv(file.choose("GT.csv"))
Error in read.table(file = file, header = header, sep = sep, quote = quote,? :
? no lines available in input
Rui Barradas
?
Citando Chaitanya Ganne <Chaitanya.Ganne at jefferson.edu>:
> Thank you so much for your input.
>
> I am
2017 Sep 21
0
rcorr error in R stat
Hello,
Also, the other file, NPA.csv, is not in tabular form. Can you please
reformat it?
Rui Barradas
Citando ruipbarradas at sapo.pt:
> Hello,
>
> Please keep this on the list, always cc r-help.
> One of the files in your attachment is empty:
>
> y <- read.csv(file.choose("GT.csv"))
> Error in read.table(file = file, header = header, sep = sep, quote =
2009 Jul 01
1
Rcorr
Hi,
I've just run an rcorr on some data in Spearman's mode and it's just
produced the following values;
[,1] [,2]
[1,] 1.00 -0.55
[2,] -0.55 1.00
n= 46
P
[,1] [,2]
[1,] 0
[2,] 0
I presume this means the p-value is lower than 0.00005, but is there any
way of increasing the number of significant figures used? How should I
interpret this value?
Cheers
Jim
2010 May 05
1
rcorr p-values for pearson's correlation coefficients
Hi! All,
To find co-expressed genes from a expression matrix of dimension (9275
X 569), I used rcorr function from library(Hmisc) to calculate pearson
correlation coefficient (PCC) and their corresponding p-values. From
the correlation matrix (9275 X 9275) and pvalue matrix (9275 X 9275)
obtained using rcorr function, I wanted to select those pairs whose
PCC's are above 0.8 cut-off and then
2007 Aug 01
0
Goodman Kruskal's tau
Hi
I need to know which package in R calculates the Goodman Kruskal's tau
statistic for nominal data. Also is there any implementation for multiple
classification analysis (Andrews at al 1973) in R? Any information on this
would be greatly appreciated.
Thank you
Upasna
--
---------------------------------------------------------------------
Upasna Sharma
Research Scholar
Shailesh J. Mehta
2008 Dec 12
1
Concordance Index - interpretation
Hello everyone.
This is a question regarding generation of the concordance index (c
index) in R using the function rcorr.cens. In particular about
interpretation of its direction and form of the 'predictor'.
One of the arguments is a "numeric predictor variable" ( presumably
this is just a *single* predictor variable). Say this variable takes
numeric values.... Am I
2009 May 15
1
Function Surv and interpretation
Dear everyone,
My question involves the use of the survival object.
We can have
Surv(time,time2,event, type=, origin = 0) (1)
As detailed on p.65 of:
http://cran.r-project.org/web/packages/survival/survival.pdf
My data (used in my study) is 'right censored' i.e. my variable corresponding to 'event' indicates whether a person is alive (0) or dead (1) at date last seen