similar to: Use of ifelse for indicating specific rownumber

Hello I want to make some variables with the ifelse-function, but i don't know how to do it. I want to make these five variables; b2$PRRSvac <- ifelse(b2$status=='A' | b2$status=='Aa',1,0) b2$PRRSdk <- ifelse(b2$status=='B' | b2$status=='Bb',1,0) b2$sanVac <- ifelse(b2$status=='C' | b2$status=='sanAa',1,0) b2$sanDk <-

# R 2.3.1 I read the data set into R, but the data set have two rows per record. i.e. ......... 105 1 1 1103 1 5 4 8 5 22 105 2 2 2 2 1 2 17 16 26 106 1 2 606 1 5 12 11 9 37 106 2 2 2 2 2 2 16 14 29

I'd like to get the sum of every other row in a data.frame. When I actually set about doing this, I get the error in the subject line of this message. A sample of my data is below, followed by the function call that should give me the results I want: > dput(head(sens2)) structure(list(Time = c(1328565067, 1328565067.05, 1328565067.1, 1328565067.15, 1328565067.2, 1328565067.25), Y =

Hello I have one DF (detheleny1periode), with some variables that mathes, in some way, variables in another DF (y2). The DF named detheleny1periode look like this (i have not included alle variables): CHR_NR diffdatoperiode 11377 29 11377 59 11377 78 with many different CHR_NR's. And the other DF named y2 look like this (i have not

R programming question, not machine learning, although that's the content. Apologies to all for whom the following code is eye-burning. I am using foreach() to run a simulation on a randomForest model (actually conditional randomForest ... "party" package). The simulation is in two dimensions. examining how "mtry" and "ntrees" are related in terms of predictive

Hello, I have a data set with 15 variables, and use "pairs" to plot the scatterplot of this data set. Then I want to plot some circles on the small pictures with high correlation(e.g. > 0.9). First, I use "cor" to obtain the corresponding correlation matrix (x) for this scatterplot. Second, use "seq(along = x)[x > 0.9]" to find the positions of the small

Hi, I was wondering if it is possible to get the rowindices without using the function "which" because I don't have a restriction criteria. Here's an example of what I mean: # take 10 randomly selected instances iris[sample(1:nrow(iris), 10),] # output Sepal.Length Sepal.Width Petal.Length Petal.Width Species 76 6.6 3.0 4.4 1.4

Hi johannes at dsr.life.ku.dk napsal dne 13.02.2009 13:17:06: > Hi > > I tried what you said, but i gives FALSE all the way down! And I think its > because there are other words in phrases as well. So if there is 'San' > in the phrase it has to be TRUE even thoug there are other words before and > after 'San' in the phrase. I do not understand. >

Hello Rprofessionals, The SOM-Obj works very well, when i normalize my data and the plot-function, too ! But i miss or didn't find the possibility , extract the information from the SOMplot "clusterSize" and "mean" for every cluster as quantitative information ( i.e. the DataFrame with an additional column which define the calculate clusters from SOM)? My intention -

Hi, How can I avoid xtable of printing rownumbers when exporting a data.frame ? Are there more packages that deal with LaTeX besides xtable and Sweave ? Thanks EJ

Hello, I have a matrix and I want to sample 20 rows that are the the percentiles of 0-100 in 0.05 increments. I have a vector of my sequence (0, 0.05, 0.10, 0.15,....1.0) and also a normalised vector of rownumbers. That is, there are 234 rows (for example) so I do perc<-c(1:234/234) which looks like a bunch of numbers from 0 - 1. In Excel (which I try not to use at every possible

I am new to this list, so this question is already answered. I thougth that if <webroot> and <fileserve> is set in icecast.xml i could stream mp3 files by http-protocol like http://occ1.net:8003/modules/media/gallery/music/alternativerock/mab/emphasizedlove.mp3. But it didnt work. I have setup icecast and ices to stream *.m3u and that worked. So my setup should be correct.

Hello, I thougth that there is a function which does the kendall test in R, I writed on the console apropos("kendall") and I didn't found anything can you tell me how could I do to use the kendall test? Thanks. _____________________________________________________________________________ l [[alternative HTML version deleted]]

Heyas all, I've had a good root round in the docs but cant seem to find an answer to this:

Hello I have around 200 PDF-documents, containing data i want organized in R as a dataframe. The PDF-documents look like this; http://www.nabble.com/file/p21667074/PRRS-billede%2Bmed%2Bfarver.jpeg or like this; http://www.nabble.com/file/p21667074/PRRS-billede%2Bmed%2Bfarver%2B2.jpeg So i want to pull out the data in coloured boxes it become organized like this (just in R instead of

Hello I have two data frames, SNP4 and SNP1: > head(SNP4) Animal Marker Y 3213 194073197 P1001 0.021088 1295 194073197 P1002 0.021088 915 194073197 P1004 0.021088 2833 194073197 P1005 0.021088 1487 194073197 P1006 0.021088 1885 194073197 P1007 0.021088 > head(SNP1) Animal Marker x 3213 194073197 P1001 2 1295 194073197 P1002 1 915 194073197

Hi NG I desperately try to install Direct X 8 under my wine. I know from Websites that it was possible to install Directx 7.X So i thougth there should be a way to get 8 to work too, the NG search brougth nothing about this topic. Im running a Suse 7.2 System with all Updates available including newest Wine. But if i try to start it the installer always tells me that its not pos. to install

i have look thougth all the guides to get wine every time i run "yum install wine" it will say Code: [root at subaru-1 Toushirou]# yum install wine Loaded plugins: fastestmirror, priorities Loading mirror speeds from cached hostfile * base: mirror.cogentco.com * extras: mirror.umoss.org * updates: mirror.cogentco.com Setting up Install Process No package wine available. Nothing to do

Hi I'm running a glm analysis and I got the following message: glm.i01<-glm(U~y+v+i+b+v:y+v:i+v:b+y:i+y:b+i:b,family=Gamma(link="log")) Error: cannot allocate vector of size 153594 Kb I thougth this was not suppose to happen in version 1.5 ?! How can I solve this problem ?? Can this a problem of swap space ?? My machine is a pentium III 833 with 512MB of RAM and I'm using

Best R Help, I like to estimate a Multinomial Logit Model with 10 Classes. The problem is that the number of observations differs a lot over the 10 classes: Class | num. Observations A | 373 B | 631 C | 171 D | 700 E | 87 F | 249 G | 138 H | 133 I | 162 J | 407 Total: 3051 Where my data looks like: x1 x2 x3 x4 Class 1 1,02 2 1 A 2 7,2 1 5 B 3 4,2 1 4 H 1 4,1 1 8 F 2 2,4 3 7 D 1 1,2 0 4 J 2 0,9