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...w1091.exe This seems to be different from what is shown at http://cran.r-project.org/bin/windows/base/md5sum.txt: 2e92742add3194fc22ada0cd2634ac61 *rw1091.exe What's going on? TIA for any help. _____________________________________________________________ Tired of spam and viruses? Get a VolcanoMail account with SpamShield Pro and Anti-Virus technology! http://www.volcanomail.com/

Hi, I am new to R, coming from a few years using Stata. I've been twisting my brain and checking several R and S references over the last few days to try to solve this data management problem: I have a data set with a unique patient identifier that is repeated along multiple rows, a variable with month of patient encounter, and a continous variable for cost of individual encounters. The data

I have some questions and comments on timezones. Problem 1. # get current time in current time zone > (now <- Sys.time()) [1] "2003-07-29 18:23:58 Eastern Daylight Time" # convert this to GMT > (now.gmt <- as.POSIXlt(now,tz="GMT")) [1] "2003-07-29 22:23:58 GMT" # take difference > now-now.gmt Time difference of -5 hours Note that the difference

I am trying to build hdf5 for ms-windows. I downloaded the hdf5_1.4.7.tar.gz, gunzipped it and got a tar file. I extracted everything into a directory tree called hdf5. I also found a Makevars.win and libhdf5.def in the R help archives from March 2002. I put those two in hdf5 as well. I issued the command Rcmd build --binary hdf5 but got this message complaining it can''t find

How does one get the character that corresponds to a number? Also the inverse? The %c format code is not supported by the R sprintf function and I could not find another way to do it.

How does one get a list of all the color names supported by R and the mapping between color names and hex codes? Color names are things like "red", "salmon", etc. I am using Windows 2000 Professional and R 1.7.1.

One gets a different response when abbreviating collapse= in paste? In the second case, it appears to be acting as if " + " is just another argument to be pasted. # expected response > paste(c("X","Y"),1:4,sep="",collapse=" + ") [1] "X1 + Y2 + X3 + Y4" # different! >

Tracking down this bug was joint work with Jermoe Asselin (jerome at hivnet.ubc.ca) and Patrick Connolly (p.connolly at hortresearch.co.nz). We collectively were able to determine that this is a problem in Windows 2000 but not in Linux. Timezones of the form GMT-5, GMT+3, etc. do not work properly in Windows 2000 for nearby dates in daylight savings time although they do work for nearby dates

Tracking down this bug was joint work with Jermoe Asselin (jerome at hivnet.ubc.ca) and Patrick Connolly (p.connolly at hortresearch.co.nz). We collectively were able to determine that this is a problem in both Windows 2000 and in Linux and by testing it in our three time zones that it seems to be daylight savings time related. Conversion of POSIXlt datetimes to POSIXct appears to have problems.

This is a proposal for a simple partial solution to the date problems in R. It defines new classes, POSIXct0 and POSIXlt0, which are similar to their non trailing zero counterparts but have no timezone or daylight time. Internally they look like GMT times but they have their own methods. PROBLEM Problems with POSIX dates appear when you want to work with daily data or time data and just want

The problem with POSIXt is that you must consider timezones and daylight vs. standard time issues even if you don't want to. This violates modularity (viz. your routines becomes coupled to unrelated information) and leads to subtle errors where different routines are assuming different time zones. The problem is that the time, date, day of the week, month, etc. of a date depend on its

--- Prof Brian D Ripley <ripley@stats.ox.ac.uk> wrote: >A matrix list? R lists are just vectors with elements of different types, >and R matrices are just vectors with a dimension attribute. When I saw the above I tried to create a matrix from a list but could not get it to work: my.lm <- lm( rnorm(10) ~ I(1:10) ) my.list <- list(1, 2, 3, 4, 5, 6, my.lm, my.lm, my.lm)

In the first line, use the dist function, found in library mva, to get the distance between each pair of rows. From this calculate an incidence matrix for which element i,j is true if row i in dat equals row j in dat (and false elsewhere). In the second line, for each row calculate the indices of the matching rows and take the minimum of those as the key. incid <-