[R] string edit distance
I have a column of words, for example DOG DOOG GOD GOOD DOOR ... and I am interested in creating a matrix that contains the string edit distances between each pair of words. I am this close - ' ' - to writing the algorithm myself (which will allow for different variations on the string edit rules, indels, plus or minus transpositions, and possibly some variations on that), but I figured I'd see if anyone on the list has any experience with this and might already have some shoulders for me to stand on. Thanks, Thomas Thomas Hills Ph.D. Department of Psychological and Brain Sciences Indiana University Bloomington, IN 47405 [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch 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 commented, minimal, self-contained, reproducible code.
[R] interpreting coxph results
I am having trouble understanding results I'm getting back from coxph doing a recurrent event analysis. I've included the model below and the summary. In some cases, with minor variations, the Robust variance and Wald tests are significant, but the individual covariates may or may not be significant. My main question is: If Wald and robust tests both take into account the clustering, then why are they so different and how do I make sense of them. A second question is: If Wald and Robust are both significant in the summary tests, but all individual covariates are insignificant (these are Wald, yes?), what do I make of that? I recognize the questions are partly R related and partly statistical (if there is a better place to post this please let me know). Call: coxph(formula = Surv(startt, stopt, rep(1, nrow(omfi))) ~ joof1 + topslope1 * top1 + I(early.angle/late.angle) + spac.cov + ave.angle + slopef.d + cluster(id) + strata(sequence), data = thedofile)) n= 174 coef exp(coef) se(coef) robust se zp joof1 -0.2755 7.59e-01 0.15900.2998 -0.919 0.36 topslope1 30.9827 2.86e+13 23.2339 51.9948 0.596 0.55 top1 0.1165 1.12e+00 0.19010.3951 0.295 0.77 I(early.angle/late.angle) 0.0449 1.05e+00 0.11650.1296 0.347 0.73 spac.cov 0.9815 2.67e+00 3.41045.5871 0.176 0.86 ave.angle 0.0396 1.04e+00 0.01560.0266 1.488 0.14 slopef.d -0.3394 7.12e-01 0.43730.8891 -0.382 0.70 topslope1:top1-5.5673 3.82e-03 2.81986.7696 -0.822 0.41 Rsquare= 0.18 (max possible= 0.898 ) Likelihood ratio test= 34.5 on 8 df, p=3.27e-05 Wald test= 23.5 on 8 df, p=0.00276 Score (logrank) test = 31.8 on 8 df, p=0.000103, Robust = 13.5 p=0.097 (Note: the likelihood ratio and score tests assume independence of observations within a cluster, the Wald and robust score tests do not). Thanks for any help, Thomas Hills Indiana University __ R-help@stat.math.ethz.ch 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 commented, minimal, self-contained, reproducible code.
[R] averaging within columns
I have a dataframe with names in the first column and wait times between decisions in the second column. Since individuals make multiple decisions, I want the average for each individual. For example, the data might look like this namewtime jo 1 jo 2 jo 1 jo 3 tim 3 tim 2 tim 2 ro 1 ro 2 etc. I'm hoping there is something like mean(dataname$wtime[name]) which will just create a column with length equal to the number of different names (levels) and an average wtime for each. So far though, I haven't had much luck figuring that one out. Thanks. Thomas __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] read.table from a list of filenames
I am wondering if it is possible to read.table repeatedly from a list
of file names into a new list of table names.
For example:
filenames - list.files()
then with a function like
rf - function(i) {
word??(filename[i]) - read.table(filenames[i]) }
I can't seem to find a function like word?? that will be the object of
another operation. If this worked, then I could repeat it for the
length of filenames.
Also, even the following function seems to give me an error, but I
don't yet know why.
rf - function(nam, i) { nam - read.table(filenames[i]) }
Any help would be very much appreciated.
Thanks,
Thomas
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[R] using get() in assign()
I'm trying to rename the columns in a list of data.frames using the
following...
for(i in 1:length(filenames)) {
assign(names(get(filenames[i])), c(name, infood, time) ) }
R returns no errors, but the names are unchanged in the data.frames.
The original names were things like
names(get(filenames[2]))
[1] Tc45w4.V1 Tc45w4.V2 Tc45w4.V3
after the above procedure they are still those names.
Ideas appreciated. Thanks.
Thomas
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