search for: dubins

...tes the routines that R uses, from those that MATLAB and SPSS use. In other words, in what respects do R routines work faster/more efficiently/more accurately than those of MATLAB/SPSS. I thank you in advance for any answer you can give me (or rather, the inquiring student). Cheers, Matthew Dubins

...culate the z scores for each vector, then you stack them and append them to the original data frame. Is there anyway to apply this sort of calculation without splitting the original vector up? I tried a really complex ifelse statement but it didn't seem to work. Thanks in advance, Matthew Dubins

...e mean.yrly.closures data set with a precision of 2 decimal places (options(digits=2)), but then once I plotted the numbers, they showed up with many decimal places. It would be nice to figure this out so that I don't have to rely on Excel to make changes to the precision! Thanks, Matthew Dubins

Dear r-users, Does anyone know how to draw time-dependent survival curves? Example: Event outcome: CHD Time-dependent covariate: NSAID use, which changes over time for each subject I'm interested in survival curves stratified by NSAID use. I'd like to implement Simon & Makuch (1984) method. Is there a R package/function to draw this graph?

...(sample2.df) where the values in its ID column *are not* in the equivalent ID column in the first sample (sample1.df). How would I go about doing this? In other words: The values in sample2.df$ID *are not found* in sample1.df$ID, and both samples are drawn from main.df. Thanks in advance, Matt Dubins -- View this message in context: http://r.789695.n4.nabble.com/Random-sample-from-a-data-frame-where-ID-column-values-don-t-match-the-values-in-an-ID-column-in-a-se-tp4516448p4516448.html Sent from the R help mailing list archive at Nabble.com.

Dear all, I have three concerns: 1) I am running models with the lme4 package. I cannot find a way to pull out a vector of the fitted values and the residuals. Does anybody know how to do it? 2) How can I nest a random effect variable into a "two-level" fixed effect variable? 3) Suppose I have the following model: y = a + b|c + d + error, where 'a' is a fixed effect, 'c'

Hi Folks, I'm running a minimal, textmode only install of FC4, and I'm trying to compile and install Dovecot 1.0-beta2. I keep getting the following error which I'm hoping someone here can help me troubleshoot. (...) /bin/sh ../../libtool --tag=CC --mode=link gcc -std=gnu99 -g -O2 -Wall -W -Wmissing-prototypes -Wmissing-declarations -Wpointer-arith -Wchar-subscripts -Wformat=2

...:length(names(mod$model))]) sd.Y = sd(mod$model[,1]) coefs.in.sds = coefs[2:length(coefs)]/sd.Y std.betas = coefs.in.sds / (1/sds) std.betas } tolerance = function(model) # Dependent on car package { 1/vif(model) } http://www.utsc.utoronto.ca/~mdubins/summary2.R http://www.utsc.utoronto.ca/~mdubins/Tab15-1.dat > summary2(b) Call: lm(formula = Overall ~ Teach + Exam + Knowledge + Grade + Enroll) Residuals: Min 1Q Median 3Q Max -0.69991 -0.16245 0.01669 0.20511 0.82464 Coefficients: Std.Estimate Est...

HI R-users, I am trying to repeat an example from Rayner and Best "A contingency table approach to nonparametric testing (Chapter 7, Ice cream example). In their book they calculate Durbin's statistic, D1, a dispersion statistics, D2, and a residual. P-values for each statistic is calculated from a chi-square distribution and also Monte Carlo p-values. I have found similar p-values

When counting required slots for skb, netback directly uses DIV_ROUND_UP to get slots required by header data. This is wrong when offset in the page of header data is not zero, and is also inconsistent with following calculation for required slot in netbk_gop_skb. In netbk_gop_skb, required slots are calculated based on offset and len in page of header data. It is possible that required slots