[R] robust standard errors in maximum likelihood estimation; sandwich estimator for mle/mle2

t standard errors is easily implemented with he command "cluster(id)". Is there something similar in R? Thank you for any advice, Marc Gesendet: Dienstag, 01. Juli 2014 um 10:07 Uhr Von: "Marc Jekel" An: r-help@r-project.org Betreff: maximum likelihood

[R] R + memory of objects

Dear R community, I am still struggling a bit on how R does memory allocation and how to optimize my code to minimize working memory load. Simon (thanks!) and others gave me a hint to use the command "gc()" to clean up memory which works quite nice but appears to me to be more like a "fix" to a

[R] memory allocation in R

Dear R community, I was observing a memory issue in R (latest 64bit R version running on a win 7 64 bit system) that made me curious. I kept track of the memory f my PC allocated to R to calculate + keep several objects in the workspace. If I then save the workspace, close R, and open the wo

[R] how to apply several math/logic operations on columns/rows of a matrix

don't know but I checked several R books and could not find a command to do this). It would be great to have a function in which it is possible to define a sequence of commands that can be applied column/row-wise. Thanks for a hint, Marc -- Dipl.-Psych. Marc Jekel MPI for Research on

[R] file size plot pdf

Dear R-Fans, I have been lately working on some plots in R that I save as pdf via the pdf() command. I have realized that when I open those files in Adobe and then re-save it within Adobe ("save as..."), the size of the pdf files decreases rapidly (e.g., from 4mb to 1mb). This can also be obse

Re: [R] sensitivity logical operators in R

Hi again, I have checked the same code (see below) using MATLAB. It produces the same error (i.e., equal numbers are evaluated as unequal). Do I miss something? Thanks for help! Marc Marc Jekel schrieb: Hello R Fans, Another question for the community that really frightened me today

[R] sensitivity logical operators in R

Hello R Fans, Another question for the community that really frightened me today. The following logical comparison produces a "false" as output: t = sum((c(.7,.69,.68,.67,.66)-.5)*c(1,1,-1,-1,1)) tt = sum((c(.7,.69,.68,.67,.66)-.5)*c(1,-1,1,1,-1)) t == tt This is really strange behavior. Mos

[R] which operating system + computer specifications lead to the best performance for R?

Dear R Fans, I have the opportunity to buy a new computer for my simulations in R. My goal is to get the execution of R code as fast as possible. I know that the number of cores and the working memory capacity are crucial for computer performance but maybe someone has experience/knowledge whic

[R] R performance

Dear R Fans, I was recently asking myself how quick R is in code execution. I have been running simulations lately that need quite a time for execution and I was wondering if it is reasonable at all to do more computational extensive projects with R. Of course, it is possible to compare execu

[R] r bug (?) display of data

Hi R Fans, I stumbled across a strange (I think) bug in R 2.9.1. I have read in a data file with 5934 rows and 9 columns with the commands: daten = data.frame(read.table("C:/fussball.dat",header=TRUE)) Then I needed a subset of the data file: newd = daten[daten[,1]!=daten[,2],] --> two valu

[R] small numbers

Dear R Fans, I have a simple probem but cannot find any reference to the soultion. I want to do calculations with small numbers (for max likelihood estimations). The lowest value R is storing by default is 1*10^-323, a smaller numer like 1*10^-324 is stored as a 0. How can I circumvent this pro