similar to: label point

The following code demonstrates an annoyance with plot.lm(): library(DAAGxtras) x11(width=3.75, height=4) nihills.lm <- lm(log(time) ~ log(dist) + log(climb), data = nihills) plot(nihills.lm, which=5) OR try the following xy <- data.frame(x=c(3,1:5), y=c(-2, 1:5)) plot(lm(y ~ x, data=xy), which=5) The "Cook's distance" text overplots the label for the point with the

Hallo all Please help me. I am lost and do not know what is the problem. I have a factor called kvartaly. > attributes(kvartaly) $levels [1] "1Q.04" "2Q.04" "3Q.04" "4Q.04" "1Q.05" "2Q.05" "3Q.05" "4Q.05" $class [1] "factor" > mode(kvartaly) [1] "numeric" > str(kvartaly) Factor w/ 8

Hi all, I got one problem with comparing strings like if any string is like "*RIGHT, EPICARDIUM: FOCUS, GRAY-WHITE, SINGLE, APPROX 0.6 CM IN DIAMETER*." and i have to compare "*GRAY-WHITE*" with the above string or otherwise i have to compare " *TUMOR BENIGN*" this string with "*MEDULLRY TUMOR BENIGN,TYP PHEOCHROMOCYTOMA*" i

I found myself wanting to average a vector [vec] within each level of a factor [Fac], returning a vector of the same length as vec. After a while I realised that lm1 <- lm(vec ~ Fac) fitted(lm1) did what I want. But there must be another way to do this, and it would be good to be able to apply other functions than mean() in this way. Cheers, Murray -- Dr Murray Jorgensen

I found instructions on how to start 2 instances of samba binding each instance to an individual ip address or interface on the server but it will only start the first insatnce I try. /usr/sbin/smbd -s /etc/samba/smb.conf.DOMAIN1 /usr/sbin/nmbd -s /etc/samba/smb.conf.DOMAIN1 /usr/sbin/smbd -s /etc/samba/smb.conf.DOMAIN2 /usr/sbin/nmbd -s /etc/samba/smb.conf.DOMAIN2 Only the DOMAIN1 will start. I

Hello everybody I'm using contour() to draw streamlines of potential flow, eg jj <- seq(from= -4, to=4,len=20) jj <- outer(jj,jj,function(x,y){x})+1i*outer(jj,jj,function(x,y){y}) f <- function(x){x^2} contour(Im(f(jj)), nlevels=44 , labels="") How best to put arrows on the contour lines to show the direction of flow? (ie I want contour lines looking like

Hi Say I've this vector with several duplicates >x<-c(1,2,3,4,2,6,2,8,2,3) >which(duplicated(x)) [1] 5 7 9 10 11 But what I realy want is somthing like: List({2,5,7}, {3,10}, ...) Then from each sublist I can specify which of the duplicate items to drop res<-NULL for(vec in myDuplicateList) res<-rbind(res, subset(data[vec,], myCrit)) I'll get some of the way by

I have a data set with seven inputs. Four of which are categorical. For my midterm, my professor wants us to scale all the inputs. This means, I pressume, that I have to use 'recode' or 'factor' to transform the categorical data in numerical. For example, one input variable is 'race=(b,w,h,o)'. I just want to assign a numerical value to all 'b,w,h,o'. I

Hi Everyone, I am running into a problem with matrices. I use R version 2.4.1 and an older version. The problem is this: m<-matrix(ncol=3,nrow=4) m[,1:3]<-runif(n=4) That does what I expect; it fills up the rows of the matrix with the data vector > m [,1] [,2] [,3] [1,] 0.2083071 0.2083071 0.2083071 [2,] 0.5865763 0.5865763 0.5865763 [3,] 0.7901782 0.7901782

Hello, I am trying to use cluster.overplot from package plotrix and I get an error message when I add the "away" parameter: require(plotrix) distance <- read.table("distance.txt") cmd <- cmdscale(distance) cp <- cluster.overplot(cmd, away=2) Error in if (sum(overplots) > 1) { : missing value where TRUE/FALSE needed If I don't use "away",

Dear R users, I have a huge vector that I would like to split into unequal slices. However, the only way I can do this is to create another huge vector to define the groups that are used to split the original vector, e.g. # my vector is this a.vector <- seq(2, by=5, length=100) # indices where I would like to slice my vector cut.values <- c(30, 50, 100, 109, 300, 601, 803) # so I have to

What's the best object browser? Dear all, I have tried all the popular R IDE or editors like Eclipse, Komodo, JGR, Revolution... They all have fancy fucntions like auto completion, syntax highlight.... BUT, I JUST WANT A OBJECT BROWSER! The easiest way to view objects in R console is fix(), but you have no global view of all the objects in the workspace. Revolution has the best object

Hello, I am new to using R and I am having problems get boot() to work properly. Here is what I am trying to do: I have statistic called "cs". cs takes a data matrix (154 x 5) and calculates 12 different scores for me. cs outputs the data as a vector (12 x 1). cs doesn't really use weights, per se, however I have included this as one of the 2 arguments cs can take. I try

I'm trying to create a histogram from the following code, but my data keeps adding the Num vector and plotting that. My data in the CSV file is just one vector. Does anyone know why? Thanks Conrad SPXdf = data.frame(read.csv(file = "SPX.csv", header = TRUE, sep = ",", dec = ".", fill = TRUE)) Max = max(SPXdf[,2]) Min = min(SPXdf[,2]) Count =

Hello all, I'm a new user of R, experienced with Octave/MATLAB and therefore struggling a bit with the new syntax. One of the easy things in Octave or MATLAB is to plot multiple lines or sets of points by using a matrix where either the columns or the rows contain the y-values to be plotted. Both packages automatically give each line/points their own unique colour, character etc. I'm

Hello A very short question: Using multiple plots with par(mfrow=c(3,3)), how can I get R to indicate one common y- and x-axis label? I tried to use text() in par, but this is then overwritten when I plot the graphs. -- Sebastian Leuzinger Institute of Botany, University of Basel Schönbeinstr. 6 CH-4056 Basel Ph. 0041 (0) 61 267 3511 fax 0041 (0) 61 2673504 email: Sebastian.Leuzinger@unibas.ch

Hi Petr and Richard; Thanks for your responses and supports. I just faced a different problem. I have the following R codes and work well. p <- ggplot(a, aes(x=Phenotypes, y=Metabolites, size=abs(Beta), colour=factor(sign(Beta)))) + theme(axis.text=element_text(size = 5)) p1<-p+geom_point() p2<-p1+theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),

I made a plot, but after I made a second plot, the previous plot was gone. How can I save all the plots in a file (I do not manually copy and paste them one by one)? Thanks. Linda

Hi After melt you can change levels of your factor variable. Again with the toy example. > levels(temp$variable) [1] "y1" "y2" "y3" "y4" > levels(temp$variable) <- levels(temp$variable)[c(2,4,1,3)] > levels(temp$variable) [1] "y2" "y4" "y1" "y3" > And you will get graphs with this new levels ordering.

Well, ?factor does not say anything about this behaviour (assigning numeric code instead of level of factor). And actually if you do assignment for whole vector the result is different (vector in data frame is changed to factor). > temp2$fff[1]<-vec[1] > head(temp2,2) pokus minuty fff 1 T42 240 3 2 T42 300 <NA> > temp2$fff<-vec > head(temp2,2) pokus