search for: bierig

Hi fans, is it possible for a script to check if a library has been installed? I want to automatically install it if it is missing to avoid scripts to crash when running on a new machine... Ralf

Is it possible to remove all variables in the current environment through a R command. Here is what I want: x <- 5 y < 10:20 reset() print(x) print(y) Output should be NULL for x and y, and not 5 and 10:20. Can one do that in R? Best, Ralf

Hi R-fans, I would like put out a question to all R users on this list and hope it will create some feedback and discussion. 1) What are your 3 most useful R package? and 2) What R package do you still miss and why do you think it would make a useful addition? Pulling answers together for these questions will serve as a guide for new users and help people who just want to get a hint where to

Hi, in order to save space for a publication, it would be nice to have a combined scatter and density plot similar to what is shows on http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=78 I wonder if anybody perhaps has already developed code for this and is willing to share. This is the reproducible code for the histogram version obtained from the site: def.par <-

Hi R Users, I need to produce a simple report consisting of some graphs and a statistic. Here simplification of it: # graphics output test a <- c(1,3,2,1,4) b <- c(2,1,1,1,2) c <- c(4,7,2,4,5) d <- rnorm(500) e <- rnorm(600) op <- par(mfrow=c(3,2)) pie(a) pie(b) pie(c) text(ks.test(d,e)) obviously, the ks.test does not make it to the output. How can this be archived by a)

Can one create a variable through a function by name createVariable <- function(name) { outputVariable = name name <- NULL } after calling createVariable("myVar") I would like to have a variable myVar initialized with NULL in my environment. Is this possible? Ralf

How can I create intersections of vectors? a <- c(1,2,3) b <- c(1,5,6) the intersected list c should contain c(1)... Ralf

I am looking for a mailing list for general statistical questions that are not R related. Do you have any suggestions for lists that are busy and helpful and/or lists that you use and recommend? Thanks in advance, Ralf

> Message: 21 > Date: Mon, 5 Jul 2010 02:26:29 -0400 > From: Ralf B <ralf.bierig at gmail.com> > To: "r-help at r-project.org" <r-help at r-project.org> > Subject: [R] Profiler for R ? > > Hi, > > is there such a thing as a profiler for R that informs about a) how > much processing time is used by particular functions and commands and &gt...

Dear R users, I would like to great a frequency table from raw data and then access the classes/bins and their respective frequencies separately. Here the code to create the frequency tables: x1 <- c(1,5,1,1,2,2,3,4,5,3,2,3,6,4,3,8) t1 <- table(x1) print(t1[1]) Its easy to plot this, but how do I actually access the frequencies alone and the bins alone? Basically I am looking to get:

Hi experts, I am trying to write a very flexible method that allows me to add a new column to an existing data frame. This is what I have so far: add.column <- function(df, new.col, name) { n.row <- dim(df)[1] length(new.col) <- n.row names(new.col) <- name return(cbind(df, new.col)) } df <- NULL df <- data.frame(a=c(1,2,3)) df # corect: added NA to new collumn df <-

Here the general (perhaps silly question) first: Is it possible for a script to find out if it was sourced by another script or run directly? Here a small example with two scripts: # script A print ("This is script A") # script B source("C:/scriptA.R") print ("This is script B") I would like to modify script A in a way so that it only outputs 'This is script

I am a beginner in R, so please don't step on me if this is too simple. I have two data sets datax and datay for which I created a qqplot qqplot(datax,datay) but now I want a line that indicates the perfect match so that I can see how much the plot diverts from the ideal. This ideal however is not normal, so I think qqnorm and qqline cannot be applied. Perhaps you can help? Ralf

I have two data sets, each a vector of 1000 numbers, each vector representing a distribution (i.e. 1000 numbers each of which representing a frequency at one point on a scale between 1 and 1000). For similfication, here an short version with only 5 points. a <- c(8,10,8,12,4) b <- c(7,11,8,10,5) Leaving the obvious discussion about causality aside fro a moment, I would like to see how

R Friends, I have data from which I would like to learn a more general (smoothened) trend by applying data smoothing methods. Data points follow a positive stepwise function. | x x | xxxxxxxx xxxxxxxx | x x |xxxx xxx xxxx | xxxxxxxxxxxxxxxxx | |

Hi, is there such a thing as a profiler for R that informs about a) how much processing time is used by particular functions and commands and b) how much memory is used for creating how many objects (or types of data structures)? In a way I am looking for something similar to the java profiler (which is started by command line and provides profiling information collected from the run of a

Hi experts, currently developing some code that checks a large amount of Strings for the existence of sub-strings and pattern (detecting sub-strings within URLs). I wonder if there is information about how well particular String operations work in R together with comparisons. Are there recommendations (based on such information) regarding what operations should be used and what should be

What is the fastest way to compare two strings in R? Ralf

ad 1) ggplot2, Hmisc, RODBC ad 2) A package to produce high quality tables with summary statistics for publications in scientific journals. Regards, Frank >>> Ralf B <ralf.bierig@gmail.com> 02.03.2010 21:13 >>> Hi R-fans, I would like put out a question to all R users on this list and hope it will create some feedback and discussion. 1) What are your 3 most useful R package? and 2) What R package do you still miss and why do you think it would make a useful a...

Hi all, I am looking for a good book that covers Machine Learning as a whole and provides examples in R while not over focusing on the math (such as in 'Elements of Statistical Learning') but rather on descriptions and examples. I am relatively new to R and ML and, while solving problems with R, I want to learn the main concepts, techniques and problem categories. Can anybody here