similar to: Fwd: How to point a column of dataframe by a "character"

Hello, Here is a dilemma I am having for a long time. But, I couldn't figure it out. I have an vector of Y and a data frame named "data",which contains all Xs. I tried to be more efficient in fitting a simple linear regression with each X. Firstly, for (i in 1:(dim(data)[2])){ model<-lm(Y~data[,i]) # this is not what I want since the name of coefficient will be data[,i] # I

Hi All- This seems like such a pathetic problem to be posting about, but I have no idea why this testcase does not work. I have tried this using R 2.4.1, 2.4.0, 2.3.0, and 2.0.0 on several different computers (Mac OS 10.4.8, Windows XP, Linux). Below the signature, you will find my test case R code. My point in this folly is to take a dataframe of 300,000 rows, create a filter based on two

When saving a data frame with long character variable, approximately longer than 30000 characters, to a text field in PostgreSQL, using RODBC on Windows XP, I get a timestamp saved to the database instead. Is there any way to extend the number of characters that a text variable can receive? Here are the details of my case (simplified): I'm using PostgreSQL to create a table CREATE TABLE

I have a dataframe of 25 columns and 100,000 rows called ?testdf?. I wish to build a new dataframe, with 14 columns and 100,000 rows. I wish the new dataframe to have the ?trailing 12 column? mean. That is, I want column 1 of the new dataframe to have soemthing like: ?( mean(testdf[,1:12],na.rm=T)? What is the best way to accomplish this?

Greetings, I am attempting to run a function, which produces a vector and requires two input variables, across two nested factor levels. I can do this using by(X, list(factor1, factor2), function), however I haven't found a simple way to extract the list output into an organized vector form. I can do this using nested loops but it isn't exactly an optimal approach. Thank you

I have asked this question on Stackoverflow and was told it does not relate to the sites' mission as it is statistical question, thus I brought it here. I am fitting a gam mode in the mgcv package to study associations of environmental pollutants and mortality. The aim is to choose a model with lowest mgcv and also to reduce the PACF to less than < |0.1|. library(gamair) library(mgcv)

Hi, I am trying to aggregate the sum of my test data.frame as follow: testDF <- data.frame(v1 = c("a", "a", "a", "a", "a", "b", "b", "b", "b", "b", "c", "c", "c", "c", "c", "d", "d", "d", "d",

Dear R Developers, DISCLAIMER: I am new to package development in R and new to this list. I am trying to do something along the lines of: SEXP test_fun (SEXP filename) { const char *inputfile = translateChar(STRING_ELT(filename, 0)); int abc = some_function(inputfile); ... } The code compiles fine, but I get a warning: "passing argument of 'some_function' discards qualifiers

Fellow R programmers, I'd like to submit SQLDF statements with R objects as column names. For example, I want to assign "X" to "var1" (var1<-"X") and then refer to "var1" in the SQLDF statement. SQLDF needs to understand that when I reference "var1", it should look for "X" in the dataframe. This is necessary because my SQLDF

Hello - I would like to create a wrapper to the 'save' function in the base package, but have a small problem with the name of the object that is getting saved in the file. Below is a simple example illustrating my problem. ## BEGIN SAMPLE R CODE ################################################## ## Here is the wrapper for the save function

Hello (and Happy New Year), When I create a factor with labels in the order I want, write the data as a text file, and then retrieve them, the factor levels are no longer in the proper order. Here is what I do (I tried many variations): # educ is a numeric vector with 1,001 observations. # There is one NA # Use educ to create a factor feducord <- factor(educ, labels = c('Elem',

Dear R-help - Thanks to those who replied yesterday (Christos H. and Thomas L.) regarding my question on coxph and model formula, the answers worked perfectly. My new question involves the following. I want to run several coxph models (package survival) with the same dataset, but different subsets of that dataset. I have found a way to do this, described below in functions subwrap1 and

Dear all, I'm analysing a survey, and creating a barchart of the different responses for each question. The questions are grouped according to a number of categories, so I'm using lattice to create a plot with each question in a category on it. The problem is that the response set for different questions within the same category varies. I want to be able to draw only the relevant

Dear list, Please find below an example of odd behaviour of the by function. It occurs both under GNU/Linux R 2.6.2 and Windows R 2.7.0alpha. Respective sessionInfo()'s are given below. I hope I do not overlook anything. testFactor <- factor(sample(LETTERS[1:6], size = 42, replace = TRUE)) testMatrix <- matrix(rnorm(42 * 6), nrow = 42) testDf <- as.data.frame(testMatrix) by(data

This time it's complete with assertions on make debug, proper ./configure switches for the optional features, visibility and warning flags, and summary at the end of the configuration. Signed-off-by: Diego Elio Petten? <flameeyes at flameeyes.eu> --- .gitignore | 29 +++++ Makefile.am | 24 +++++ autogen.sh | 3 + configure.ac | 66 ++++++++++++

This time it's complete with assertions on make debug, proper ./configure switches for the optional features, visibility and warning flags, and summary at the end of the configuration. Signed-off-by: Diego Elio Petten? <flameeyes at flameeyes.eu> --- .gitignore | 29 +++++ Makefile.am | 24 +++++ configure.ac | 66 ++++++++++++ m4/attributes.m4 | 321

Hi R users I trying to some aggregate statistics on a very large dataset. The null values are causing a problem. I would like to calculate aggregate values for groups. I am just no sure how to deal with the "" I would ideally like them to ignored ie if there is only 1 value over several columns than that value would be the summary statistic. I have put the following example together to

Dear R-helpers: May I ask a question related to storing a number of lmer model fit into a list. Basically, I have a for-loop (see towards the bottom of this email) in the loop, I am very sure that the i-th model fit (i.e.,fit_i) is successfully generated and the character string (i.e., tmp_i) is created correctly. The problem stems from the following line in the for-loop #trouble making line

Dear list, I am sorry for asking you this, but I am trying to do again what I thought I have done before, although this time it does not work. So, given the data set: > testdf <- data.frame(grfak=sample(c("One","Two"),size=100,replace=TRUE), panfak= sample(c("Yes","No"),size=100,replace=TRUE), xfak=

Includes - A make debug target that disables optimizations and enables assertions, - Proper ./configure switches for the optional features, - A configuration summary, - libtool versioning information, - Visibility and warning flags, - API documentation, and - Support for out-of-tree builds. Signed-off-by: Diego Elio Petten? <flameeyes at flameeyes.eu> --- .gitignore | 29 +++++