similar to: help with 'cem' for r 2.14.2

Hi, I am running a MacBook Pro with OS X 10.6.8. When I try to load library(cem) and run any function, R crashes. Any suggestions as to why this is? Thanks in advance. I think the problem is that I don't have all the "infrastructure" I need to run CEM, but I have no clue what to do either... #Do I have tcltk (I have no clue what that is) capabilities("tcltk") tcltk

I am at a loss here and hoping for some advise on where to begin looking with a series of errors I am suddenly getting when trying to rake: "anything goes here" .. lil-loco:/rails/cem craigmartin$ rake db:migrate (in /rails/cem) rake aborted! Permission denied - /rails/cem/db/schema.rb This is the current error. lil-loco:/rails/cem craigmartin$ rake db:schema:load (in /rails/cem) --

Hi there, Does anyone know how to extract data from a function that prints out two or more summaries? In the function below (the whole code is provided) we get 5 different tables of data. I would like to split each of these tables in a separate file (while the function itself shouldn't be changed), so that further analysis on each data set could be carried out. Your help is deeply

This may be a really obvious question but I just can't figure out how to do it. I have a small dataset that I am trying to compare to some controls. It is essential that the controls are matched on Cancer Stage (a numerical factor between 1 and 4), and then ideally on Age (integer), Gender (factor), Performance Status(factor). I'm using matchit to try and do this, but it seems to give

Greetings fellow humans, I am attempting to export a text file after using the MatchIt package to match control with treatment subjects. I attempted to write.table and used the following syntax: "write.table(social,"shaka.txt",sep=" ",quote=FALSE,row.names=FALSE,col.names= FALSE)" But received the following error message: "Error in

Hello! If I understand this listserve correctly, I can email this address to get help when I am struggling with code. If this is inaccurate, please let me know, and I will unsubscribe. I have been struggling with the same error message for a while, and I can't seem to get past it. Here is the issue: I am using a data set that uses -1:-9 to indicate various kinds of missing data. I changed

UseRs, I tried to install the MatchIt package on Ubuntu 7.04. When loading required dependencies I got the following error message: Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library '/usr/local/lib/R/site-library/optmatch/libs/optmatch.so': /usr/local/lib/R/site-library/optmatch/libs/optmatch.so: cannot map zero-fill pages: Cannot

Hello, I am going to install the new version of R 2.14.1. After the installation, I want to copy my installed packages to the new library. But since over time I forgot which ones I installed I want to get a list of all the packages I installed among the packages installed initially by the R-installer. Is this possible? Cem Cem Girit, PhD Biopticon Corporation 182

Hi there dear R users! Anyone knows why does matchit function returns error whenever the "hull" option is used (either "hull.both", "hull.control" or "hull.treat"). Things work well with all the rest of discard options. This is the error msg. >m.out.base <- matchit(formula=f, data=d, method=m, discard="hull.control") [1]

Folks, I have a strange situation where: library(MatchIt) f <- function(d) { m <- matchit(treatment ~ lsales + major.industry, data=d, method="nearest", discard="hull.treat") treatmentfirms <- match.data(m, group="treat") list(m=m, treatmentfirms=treatmentfirms) } res <- f(ex) does not work at the match.data() call,

Hello, I am interested in parametric multi comparison tests such as Dunnett, Duncan, Tukey, Newman-Keuls, Bonferonni, Scheffe, and non-parametric tests such as Kruskal-Wallis, and Mann-Whitney U. Are there packages that include most of these tests in each category? Many packages exist for an individual test but their outputs vary in great detail (test statistics, p-values, etc.)

Hello, I am having hard time obtaining a value from a function. "fit" is a survival function that produces some results, such as "median", "confidence intervals" etc. But str() function does not list these values. How can I extract these to be able use them? For example, I need "median" value for the group DrugA which is 48. "Print" function does

Hello, I need some results from the survival analysis of my data that I do not know whether exist in Survival Package or how to obtain if they do: 1. The Mean survival time 2. The standard error of the mean 3. Point and 95% Lower & Upper Confidence Intervals estimates Any help will be greatly appreciated. Cem [[alternative HTML version

R-devel, There has been some confusion on the MatchIt package mailing list on the meaning of [--install=no] in the comment column of CRAN's automated package check. It's my understanding that, at the very least, a package marked like this will not have its test cases run each night. Are there other checks that are omitted? How, if at all, are such install flags related to the

Hello, Is there a web version of this R-Help user group (such as the ones under Google Groups) such that 1. I can do a search on any topic over thousands of posts on R easily and effectively 2. My mailbox do not overflow with emails so that I do not need to edit it every day 3. I can arrange to receive only the responses to my posts automatically 4.

Hola a todos! Espero que alguien me pueda echar algo de luz al problema que tengo. Estoy intentando instalar algunos paquetes antiguos en R (3.3.0), como ?devtools? en su penúltima versión, y me está resultando imposible. Instalé Rtools y R me dice que funciona, pero no consigo hacer que se instale el paquete. He probado bajando el paquete en formato .tar.gz y luego con las instrucciones:

I'm not sure how to best explain what I am after but here goes. I have a data frame with 2 geographical factors. One is the major region the other is the component regions. I am trying to process all the regions at the same time without using "for". So I need (think, I do) a list of matrices each structured according to the number of subregions within each region. So is there a

I have to the treatment effect base on the observational data.And the treatment variable is multinomial rather than binary.Because the treatment assignment is not random,so the selection-bias exists.Under this condition,what's the best way to estimate the treatment effect? I know that if the treatment is binary,I can use propensity score matching using MatchIt package.But what about

We would like to announce the release of our software MatchIt, now available on CRAN. MatchIt implements a variety of matching methods for causal inference. Abstract: MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2004) for improving parametric statistical models by preprocessing data with nonparametric matching methods. MatchIt implements a wide range of sophisticated

We would like to announce the release of our software MatchIt, now available on CRAN. MatchIt implements a variety of matching methods for causal inference. Abstract: MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2004) for improving parametric statistical models by preprocessing data with nonparametric matching methods. MatchIt implements a wide range of sophisticated