similar to: missing output in summary() and anova()

?Hi: I always use subset the same way but now is returning 0 rows. What's wrong with the way I am subsetting? library(ggplot2) structure(list(first = c(38.2086, 43.1768, 43.146, 41.8044, 42.4232, 46.3646, 38.0813, 40.0745, 40.4889, 38.6246, 40.2826, 41.6056, 34.5353, 40.0768), second = c(43.3295, 42.4326, 38.8994, 37.0894, 42.3218, 46.1726, 39.1206, 41.2072, 42.4874, 40.2657, 38.7766,

Hello, I am having trouble with the conversion specifications as described in the strptime help page. > head(dat) Date Time Open High Low Close Up Down Volume 1 11/19/2012 935 137.89 138.06 137.82 138.05 3202541 3013215 0 2 11/19/2012 940 138.04 138.40 138.02 138.38 2549660 2107595 4657255 3 11/19/2012 945 138.38 138.40 138.18 138.19 1627379 1856318 3483697 4

Dear all, I am perplexed when trying to get the same results using pairwise.t.test and t.test. I'm using examples in the ISwR library, >attach(red.cell.folate) I can get the same result for pairwise.t.test and t.test when I set the variances to be non-equal, but not when they are assumed to be equal. Can anyone explain the differences, or what I'm doing wrong? Here's an example

The following seems to be a bug when I tried to use the predict function. > forbes boil.pt pressure log.pressure [1,] 194.5 20.79 303.4472 [2,] 194.3 20.79 303.4472 [3,] 197.9 22.40 310.9061 [4,] 198.4 22.67 312.1042 [5,] 199.4 23.15 314.1995 [6,] 199.9 23.35 315.0597 [7,] 200.9 23.89 317.3460 [8,] 201.1 23.99

hi Michael, am sorry for the incomplete reply . csv file data havinmg like this , >getSymbols("IBM") >weekly_data = to.weekly(week_name) >dataframe=data.frame(weekly_data) >outputfile_name="F:\\R-programs\\Outputfile.csv" >write.table(dataframe, file =outputfile_name,sep = ",",col.names =TRUE,row.names = T) > datafrom_table <-

Folks; I am having a problem with the cv.glm and would appreciate someone shedding some light here. It seems obvious but I cannot get it. I did read the manual, but I could not get more insight. This is a database containing 3363 records and I am trying a cross-validation to understand the process. When using the cv.glm, code below, I get mean of perr1 of 0.2336 and SD of 0.000139. When using a

I?m looking for advice and considerations on how to optimally setup and deploy an NFS-based home directory server. In particular: (1) how to determine hardware requirements, and (2) how to best setup and configure the server. We actually have a system in place, but the performance is pretty bad---the users often experience a fair amount of lag (1--5 seconds) when doing anything on their home

This may not actually be an R/Splus problem, but it started off that way ..... ===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+=== Executive summary: ================== Simulations involving extreme value distributions seem to ``work'' when the underlying distribution is exponential(1) or exponential(2) == chi-squared_2, but NOT when the underlying distribution is