search for: womens

I got bitten recently by the following behaviour of detach(); > save(file="Junk") > attach("Junk") > search() [1] ".GlobalEnv" "file:Junk" "package:methods" "package:ctest" [5] "package:mva" "package:modreg" "package:nls" "package:ts" [9]

As part of carrying out a complicated maximum likelihood estimation, I am trying to learn to program likelihoods in R. I started with a simple probit model but am unable to get the code to work. Any help or suggestions are most welcome. I give my code below: ************************************ mlogl <- function(mu, y, X) { n <- nrow(X) zeta <- X%*%mu llik <- 0 for (i in 1:n) { if

I'm writing a script to sync some mp3 files. Due to a limitation in the number of destination files that can be read from my thumb drive, I'm not looking to preserve the original file structure (actually, I'm looking to sync *only the files* to the new destination directory). The source files are all subfolders under /backup/Music: ./Adrian Legg/Mrs. Crowe's Blue Waltz/Paddy

Any thoughts on the following? Am I missing something? [I am running R for Windows 0.63.1 on a Win NT 4.0 (workstation, sevice pack #4) box.] Thanks. FC. R : Copyright 1998, The R Development Core Team Version 0.63.1 Beta (Dec 5, 1998) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type "?license" or

Hello, In the following I tried 3 versions of an example in R help. Only the two first predict command work. After : library(splines) require(stats) 1) fm1 <- lm(weight ~ bs(height, df = 5), data = women) ht1 <- seq(57, 73, len = 200) ph1 <- predict(fm1, data.frame(height=ht1)) # OK plot(women, xlab = "Height (in)", ylab = "Weight (lb)") lines(ht1, ph1) 2)

I am wanting to use the "[" operator in an S-chunk, e.g. <<>>= str(women) women$height women[,1] "["(women,1) @ to show the equivalence of three methods of extracting an element from a data.frame. However Sweave returns the last of these as women[1] in the S input chunk How can I force it not to do this and return "["(women,1)

Hello there, I have two groups (men and women) and I know per group how many of them smoke or don't smoke (women 40 of 200; men 100 of 300). I would like to know how I can compare in R if men and women differ significantly in their smoking. However, because there are more men in the sample than women I cannot just compare the number of smokers and non-smokers in both groups, right?! (I would

Dear r-devel list members, I've recently encountered the following problem using predict() with a model that has raw-polynomial terms. (Actually, I encountered the problem using model.frame(), but the source of the error is the same.) The problem is technical and concerns the design of poly(), which is why I'm sending this message to r-devel rather than r-help. To illustrate:

...n the application: http://one.textdrive.com/pipermail/rails/2005-January/001536.html So here''s my situation. I have a table called "divisions" with a column named "format". It''s a varchar, but only the following values are valid: ["open", "womens", "coed"]. Naturally, I want to have an HTML select element on the edit page that contains the valid values, and is set to the current value. It seems like FormOptionsHelper#select should do exactly what I want, so I tried this: <%= select("division", "forma...

Hello Group, I am having trouble with the sqldf package on unix. The same code works fine on windows. Silly Example script: # Load the package library(sqldf) # Use the titanic data set data(women) colnames(women) head(women) sqldf('select height, count(*) from women where height is not null group by weight') Unix Output and error: bash-3.00$ R --vanilla <testR.R

Dear all, I have 1980~1990 eleven datas, every year have three variables, wage gender(1=female, 2=male) race(1=black, 2=white) My original commands is: fig2b<-reldist(y=mu1990$wage,yo=mu1980$wage,.......) I have three questions: 1. If I want to appoint y=women's wage in 1990 yo=women's wage in 1980 2. If I want to appoint y=women's wage in

We still have some tickets available for the Women in Compilers and Tools reception that is held the night before the 2018 Euro LLVM Developers’ Meeting in Bristol, UK. Tickets are available here. https://www.eventbrite.com/e/2018-european-llvm-developers-meeting-women-in-compilers-and-tools-reception-tickets-42287427835 This is an evening reception on April 15th that includes dinner, drinks,

Hi all, I got curious about something, so in proper scientific fashion I obtained some data and analyzed it. Question: what is the female participation in the R-help email list? Data: the most recent list postings, obtained from the website. I took my best shot at classifying the names given in the email header as male/female, but ended with a fair number of unknowns. This dataset had 2797

v 2.0.1 (sooooh old!) on Win2k I think I know the answer to this but I can hope ... I have data for continuous variables (measures of residents) by a categorical variable in range (1,22), the units in which they live. I want to plot these data with a pair of boxplots one above another with same x-axis (1,22) using par(mfrow=c(2,1)) and then plotting first for the women then for the men.

I am trying to import a SPSS.sav file into R. The attached file is not technically the file I am trying to import, but does replicate my problem. The actual file is much too large to attach. No matter what I do, I can not get R (base or Hmisc) to apply the value labels in the .sav file to the dataframe created in R. Here's the code that I am using. maine <- spss.get("test.sav") #

Am 05.05.2016 um 23:19 schrieb Tanya Lattner: > Having a code of conduct like this is just as bad as having no code > of conduct at all. It trivializes the importance of a code of conduct > and its pretty much impossible to enforce. Regardless of what kind CoC you have: if it comes to having to enforce it, the community has stopped being open and welcoming. So I think this approach is

Is there an easy way to make graphs for the following data. I have pretest and posttest scores for men and women. I would like to form a 'titlted segment' plot for the data. That is, make segments joining the scores, with different types of segments for men and women. Example data: menpre <- c(43,42,26,39,60,60,46) menpost <- c(40,41,36,42,54,58,43) womenpre <-

Dear users of metafor, I am working on a meta-analysis using the metafor package. I have a excel csv database that I am working with. I am interested in pooling the effect measures for a particular subgroup (European women) in this csv database. I am conducting both sub-group and meta-regression. In subgroup-analyses, I have stratified the database to create a separate csv file just for European

I've just discovered R and think it is terrific. I quickly reproduced results with a few lines of R commands that 7 years ago I had to do with a larger fortran code and many calls to NAG routines. (I'm mostly a computational plasma physicist, but occasionally delve into statistical analysis of data.) But I've come accross a very peculiar behavior of attached objects that cost me

I am interested in locating a script to implement a sampling scheme that would basically make it more likely that a particular observation is chosen based on a weight associated with the observation. I am trying to select a sample of ~30 census blocks from each ZIP code area based on the proportion of women in a ZCTA living in a particular block. I want to make it more likely that a block will