similar to: how to remove rows of NA

On Fri, 09 May 2003 11:34:08 +0300, Bernd Ebersberger <bernd.ebersberger@vtt.fi> wrote: >dear R-tists, > >i am experiencing a problem with the data editor in the windows version of >R 1.6.1 envoked with the command 'fix'. > >the data editor changes the size of large data frames. I can confirm this in the current R-patched. I'll take a look. It might be that

dear R-tists, i want to graph information for the German Federal States (Bundeslaender) using the maps package. unfortunately there is no maps for the German Bundeslaender. does anyone have an idea / a source where to get map data that can be used in the maps package that graphs structures below the country level. in the long run it would also be interesting to integrate Swiss Cantons and

dear R-tists, im an struggling with labeling ticks of the axis in a ggplot. i would like to print the text associated with the ticks being ploted with a 90 degree angle. how can i possibly do this? cheers. bernd. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Bernd Ebersberger Management Center Innsbruck, Austria [[alternative HTML version deleted]]

dear R-tists, i am experiencing a problem with the data editor in the windows version of R 1.6.1 envoked with the command 'fix'. the data editor changes the size of large data frames. a simple example illustrates this: ------------------------------------------------------- > dfrm <- data.frame(no=c(1:100000)) > length(dfrm[,1]) [1] 100000 > fix(dfrm) >

And I can confirm it with platform i686-pc-linux-gnu arch i686 os linux-gnu system i686, linux-gnu status major 1 minor 7.0 year 2003 month 04 day 16 language R so it is not a Windows issue. Cheers, Robert Cunningham Duncan

Hi, is it possible to draw a box around the following barplot; using "box=TRUE" won't work. ---------- pc<-c(1,2,5,29,27) barplot(pc,ylim=c(0,30),yaxs="r",xaxs="r",ylab="Anzahl" ,names.arg=c("Mac","286er","386er","486er","Pentium I") ,axisnames=T,col="gray") ---------- Thanks in

I have a data which contain some NA value in their elements. What I want to do is to **perform clustering without removing rows** where the NA is present. I understand that `gower` distance measure in `daisy` allow such situation. But why my code below doesn't work? __BEGIN__ # plot heat map with dendogram together. library("gplots") library("cluster")

Hi Troels, Its in the incoming directory: ftp://ftp.ci.tuwien.ac.at/incoming Try this for a nice demo: > library(timeslab) > arma(alpha, beta, x, 2, 4, 3, 0.2,500, 30,0) Bernd On 01-Jan-99 Troels Ring wrote: > Hi Johannes Wuebben and a happy new year. > Where did you actually put the timeslab ? > Yours > > Troels Ring, MD > Department of Nephrology

Hi, I have a few questions about how to handle large data sets in R. What is the size of the largest matrix that R can comfortably deal with? Is this size limit imposed by R's software, or is it a question of the machine that one runs on? How does one go about choosing reasonable values of vsize and nsize? I have a data set with about 1,000,000 rows, and 30

Full_Name: Dr. Bernd Winkler Version: 1.2.2 OS: Linux Submission from: (NULL) (194.59.179.176) Hi all, having updated to version 1.2.2 last week I experienced some strange behaviour of the hist function. I want to plot a histogram of frequencies resp. counts, for example poisson random numbers, on a predefined and fixed x scale > hist(rpois(500, 2), breaks=0:10) But instead of the

#I wish to find the "next non-NA" value within each row of a data-frame. #e.g. I have a data frame mydata. Rows 1, 2 & 3 have soem NA values. mydata <- data.frame(matrix(seq(20*6), 20, 6)) mydata[1,3:5] <-  NA mydata[2,2:3] <-  NA mydata[2,5] <-  NA mydata[3,6] <-  NA mydata[1:3,] #this loop accomplishes the task; I am tryign toi learn a "better" way for(i

Hello, I'm trying to read a file that has ascci data in it. The format of the data is in this order: test_number(integer) 4 double readings. Simple,ok, but for life of me I can't get R to put it into the internal format I need. What I want to do is to make an array called dat and dim it 10000 rows by 5 columns. That seems simple enough, I start out by: dat <-

I am very new to R. I was trying to load some publicly available Expression data in to R. I used the following commands mydata<-read.table("dataALLAMLtrain.txt", header=TRUE, sep ="\t",row.names=NULL) It reads data without any error Now if I use edit(mydata) It shows only 3916 entries, whereas the actual file contains 7129 entries) My data is something like Gene Description

Hi, I have a dataframe, hilodata, which looks like this: > hilodata sym date maxprice minprice ntick 1 ABK 19910711 11.1867461 0.0000000 108 2 ABK 19910712 11.5298979 11.1867461 111 3 ABK 19910715 11.7357889 11.4612675 52 4 ABK 19910716 11.5298979 11.3240068 51 5

Hi all, I'd like to fit model where the terms both are in the data.frame, mydata say, and are vectors *not in the data.frame*. >obj<-glm(y~x, data=mydata) #works >Z<-pmax(mydata$x-20,0) >(length(Z)==length(obj$y)) >[1] TRUE >update(obj,.~.+Z) #works However for some subset it doesn't works: >obj<-glm(y~x, data=mydata, subset=f==1) #works

Hello How can I select several not continuous rows ? If I wanted to select rows 1 to 7 I'll write mydata[,1:7] But what if I need to select rows 1 to 5 and 10 to 15? -- View this message in context: http://r.789695.n4.nabble.com/How-to-select-not-continous-rows-tp3003840p3003840.html Sent from the R help mailing list archive at Nabble.com.

Dear list Getting very frustrated with this simple-looking problem > m1 <- lm(x~y, data=mydata) > outliers <- abs(stdres(m1))>2 > plot(x~y, data=mydata) I would like to plot a simple x,y scatter plot with labels giving custom information displayed for the outliers only, i.e. I would like to define a column mydata$labels for the mydata dataframe so that the command >

How do I subset data to only keep those rows of a dataframe where a variable's value matches one item of a vector. For example, how do I keep all of the rows (and all variables) where mydata$id equals one of the values in keepid? See below? mydata <- NULL mydata$id <- 1:30 mydata$value <- seq(from=1,to=100, length.out=30) keepid <- c(6,10,12,13,19,25,26,27,28,29) In other

I'm looking for an efficient way of removing zero-variance columns from a large matrix. Any suggestions? Thanks, - Moises [[alternative HTML version deleted]]

Hi, I'm new to "R". I have a matrix of 6x12. I need to produce matrix of 12x6, such that rows in new matrix are columns from original matrix, and columns in a new matrix are rows from the original one. I was playing with rbind(), and cbind() with no success. Regards, -Rado -- Radoslav Bonk M.S. Dept. of Physical Geography and Geoecology Faculty of Natural Sciences, Comenius