similar to: Count of rows while looping through data

Hi all, Suppose I want to set the values in a column to the log of the values of another column like so: object$LogDist <- log10(object$Distance) How do I loop through the objects if I have object1, object2, etc to perform this function? object1$LogDist <- log10(object1$Distance) object2$LogDist <- log10(object2$Distance) object3$LogDist <- log10(object3$Distance) I was trying to

Dear R-ers, I have a data frame data with predictors x1 through x5 and the response variable y. I am running a simple regression: reg<-lm(y~x1, data=data) I would like to loop through all predictors. Something like: predictors<-c("x1","x2",... "x10) for(i in predictors){ reg<-lm(y~i) etc. } But it's not working. I am getting an error: Error in

Here's another interesting problem: if you recall I have a data frame (LCvars1) that consists of about 1500 cases (rows) of data from kids who took a test of listening comprehension. The columns are their scores (1 = correct, 0 = incorrect, . = missing) on 140 test items. The items are numbered sequentially and are ordered by increasing difficulty as you go from left to right across the

I have the following datasets: id d1 d2 d3 d4 d5 d6 d7 d8 1 100 0.3 0.4 -0.2 -0.3 0.5 0.6 -0.9 -0.8 2 101 0.3 0.4 0.5 0.6 -0.2 -0.4 -0.5 -0.6 what I am trying to accomplish: loop through the rows && do the following: if the values from the columns of the current row >0 then sum_positive=total if the values from the columns of the current row <0 then

Hello, All, How can one sort on column and row names. For example: How can this X1 X3 X2 X1 1 0 0 X3 0 1 0 X2 0 0 1 become this? X1 X2 X3 X1 1 0 0 X2 0 1 0 X3 0 0 1 Thank you for your time! Jim [[alternative HTML version deleted]]

Hey All, So, I am confused how exactly to use nesting loop functions in R to spit out data frames. I've managed to create a working function for my data set that generates a data frame for a given set of Year i and Location j; but how would I do it for all Years and Locations? Here is my working function: test<-function(i,j){ a<-x[which(x$Year==i & x$Location==j),]

Dear all, I am using grep but I did not understand the problem as I am doing something wrong.Please help me. I am using this code- sf=data.frame(sapply(df[],function(x) grep('\\.&\\,', df[,9]))) the thing is i have a data frame(df) like this- 10 135349467 g G 4 0 0 5 ,,,., 10 135349468 t T 2 0 0 5 ,,c., 10 135349469 g G 7 0 0 5 ,,a., 10 135349470 c C 8 0 0 5 ,,,., 10 135349471

Hi, R function aggregate can only take summary stats functions, can I aggregate text columns? For example, for the dataframe below, > a <- rbind(data.frame(id=1, name='Tom', hobby='fishing'),data.frame(id=1, name='Tom', hobby='reading'),data.frame(id=2, name='Mary', hobby='reading'),data.frame(id=3, name='John',

Hello The data set I am examining has 7425 observations (rows with unique identifiers) and 46 samples(columns). I have been trying to generate a dataset that filters out observations that are "negligible" The definition of "negligible" is absolute value less or equal to 1.58. The rule that I would like to adopt to create a new data is: drop rows in which 2 or more

Dear R Community, I am attempting to transpose a dataset from rows to columns but am stuck. I have tried using reshape() with little luck, possibly due to the categorical nature of the data. For example: id<-c(1,2,2,3,3,3) author<-c("j","k","k","l","l","l")

Hi, I am using merge to add some variables to an existing dataframe. I use the option "all.x=F" so that my final dataframe will only have as many rows as the first file I name in the call to merge. With a large dataframe using a lot of "by" variables, the number of rows of the merged dataframe increases from 177325 to 179690: >dim(test) [1] 177325 9 >

XCP Users: I received an email from Alberto Gonzalez Rodriguez who created OpenXenCenter/OpenXenManager and is now working on OpenXenWebManager. Info to access the tool is: steps to test are: download from http://bit.ly/bres2U uncompress: tar xvfz xenwebmanager_rev24_full.tar.gz cd xenwebmanager python frontend.py and with a browser open http://localhost:8080 (or http://ip:8080) you need

Dear R-ers, I have a list of data frames such that the length of the list is unknown in advance (it could be 1 or 2 or more). Each element of the list contains a data frame. I need to loop through all rows of the list element 1 AND (if applicable) of the list element 2 etc. and do something at each iteration. I am trying to figure out how to write a code that is generic, i.e., loops through the

I'm trying to find a more elegant way of doing this. What I'm trying to accomplish is to count the frequency of letters (major / minor alleles) in a string grouped by the factor levels in another column of my data frame. Ex. > DF<-data.frame(c("CC", "CC", NA, "CG", "GG", "GC"), c("L", "U", "L",

XCP Users: As many of you are aware, there are several open source products available for everyone to use when working with XCP. I would like to get some feedback on the various tools to get a feeling on how people are using XCP and these tools. Here are the tools that I am aware of (please respond if you are using another tool): * OpenXenManager -

Hello, Here is the data set I am working with: dat=read.csv('http://dl.dropbox.com/u/1852742/relexpressions.csv') names(dat) #Under the 'target' column, I want to change all of the values into all capital letters (e.g. fgf2 becomes FGF2). I have taken a loop approach but I think my Python background is confusing me. Here is what I attempted: for(line in

Xen Community: As you are aware, the Xen Cloud Platform has been available for download since last November and is becoming a very successful release for Xen.org. In fact, we are seeing substantial network traffic for this solution as we had 26 TB of data from XCP downloads in the past 4 weeks. Of course, this amount of traffic is forcing a re-examination of our co-location agreements as we are

Xen Community: As you are aware, the Xen Cloud Platform has been available for download since last November and is becoming a very successful release for Xen.org. In fact, we are seeing substantial network traffic for this solution as we had 26 TB of data from XCP downloads in the past 4 weeks. Of course, this amount of traffic is forcing a re-examination of our co-location agreements as we are

Team: It is time to start thinking about our 2nd XCP meeting for the Xen.org XCP team. The last meeting was held on May 25, 2010 at 14:00 UTC. Notes are at http://wiki.xensource.com/xenwiki/XCP_Monthly_Meetings. For the next meeting I hope to schedule a time that is better for our Asian participants so please contact me with a time that would be best if you live in Japan, Korea, Australia, etc.

Team: It is time to start thinking about our 2nd XCP meeting for the Xen.org XCP team. The last meeting was held on May 25, 2010 at 14:00 UTC. Notes are at http://wiki.xensource.com/xenwiki/XCP_Monthly_Meetings. For the next meeting I hope to schedule a time that is better for our Asian participants so please contact me with a time that would be best if you live in Japan, Korea, Australia, etc.