similar to: error with barplot command?

On Tue, 15 Jun 2004 21:41:00 +0800, ?????? <0034058@fudan.edu.cn> wrote : >Duncan Murdoch?? > > thanks for your information:) > > i have another small question,i hope you can give me an perfect answer. > >i know the difference between alpha and beta version,but how about pathed verion? > >does pathed version means final version,formal version? Here's a

Hello, there seems to be a bug in tapply or barplot in R 1.9.0 that was not in = earlier versions. The following code creates two nice barplots in 1.7.0, = but the first one is bad in 1.9.0: par(mfrow=3Dc(1,2)) x <- rep(1:10,10) y <- runif(100,1,100) z <- tapply(y,x,mean) barplot(z) barplot(as.numeric(z)) although is.numeric(z) returns TRUE! Best regards, Vidar Hjellvik Institute of

Greetings all, It would appear that some default behavior changes for barplot() have been introduced into Version 1.9.1 alpha (2004-05-30). One change is in the specification of the default 'col' argument, which is now: col: a vector of colors for the bars or bar components. By default, grey is used if height is a vector, and heat.colors(nrow(height)) if height is a matrix.

Full_Name: Dan B Version: R 2.0.0 (2004-10-04). OS: Fedora 2 Submission from: (NULL) (80.6.127.185) The man page for barplot (?barplot) is confusing... <quote> cex.axis: expansion factor for numeric axis labels. cex.names: expansion factor for axis names (bar labels). </quote> What is an 'expansion factor', and what does it do in this context? <quote> axis.lty: the

Am I wrong that barplot is supposed to just skip NAs, and continue with the rest of the data in a matrix column? That's how I read various posts on the subject. But that's not what happens for me with R64.app (on a Mac, obviously). For example: d0 <- as.matrix(c(2,3,4)) d1 <- as.matrix(c(2,3,NA)) d2 <- as.matrix(c(2,NA,4)) d3 <- as.matrix(c(NA,3,4)) barplot(d0) barplot(d1)

Hello everyone, i am currently creating a barplot. This barplot takes a vector of ~200 datapoints. Each datapoint represents one bar. http://img96.imageshack.us/i/human1w.png/ (Ok as you see, it is not only one barplot, but a series of barplots). Now, these barplots represent a human chromosome. This means they are ordered. For instance bar number 50, means position 50 in the human chromosome.

I am trying to make a barplot with a broken axis using gap.barplot (in the indispensable plotrix package). This works well when the data is a vector: > twogrp<-c(rnorm(10)+4,rnorm(10)+20) > gap.barplot(twogrp,gap=c(8,16),xlab="Index",ytics=c(3,6,17,20),ylab="Group values",main="Barplot with gap") But when the data is an array (for a bar plot with multiple

All, Consider: BagA <- c(-1000,10,10,10,10,10,10, 10,20,20,20,20,20,20,30, 30,40,40,50,60) BagB <- c(10,20,30,30,40,40,50,50, 50,50,50,50,60,60,60,60, 60,60,60,1000) layout(c(2,1)) barplot(table(BagB)) barplot(table(BagA)) At this point, I'd like to arrange the plots so that the 10-bars are aligned, the 20-bars are aligned, etc. So, I started

Dear all, I am trying to make barplot from matrix with "beside=FALSE". I have 165 labels in my bar plot. When i plot the label horizontally below the barplot, then all labels are not appear in the plot due to lack of space. I used the following function: barplot(t(bar), main="Barplot based on LCMS", ylab="RF membership Probability",   

Hi all, I'd be grateful for your help. I am a new user struggling with a barplot issue. I am plotting categories (X axis) and their mean count (Y axies) with barplot(). The first call to barplot works fine. I remove records from the dataframe using final=[!final$varname == "some value",] I echo the dataframe and the records are no longer in the dataframe. When I call plot again

Subject: Creating a barplot--advice needed > Advice needed: I am preparing a computer program to do a barchart. Advice > needed: Should I learn the lattice package, or try to? As a > non-statistician, much of the terminology is unfamiliar to me. "grouping > variable," "object of class trellis," etc. Or, is there a more easily > learned way to do it? It is a

Hi list, I've thus far not found a solution to my problem and hope someone can help. I have a data matrix and wish to plot a stacked bar plot using barplot(). This is simple enough, but I have a problem with the legend labels being in the reverse order from what I want. The default appears to have labels ascending bottom-to-top reflecting bottom-to-top sub-bars, but I would like the

Hello, for my project I wanted to create a side-by-side barplot. For each of 143 treatments there are always two measurement. This two measurements (a pair) are represented by a red resp. a yellow bar. I was able to write the code for the side-by-side barplot. Unfortunately however I am not able to vary the distance between the measurement pairs ( the distance from one red-yellow bar pair to the

Hello I'm trying to create a barplot with a couple of stacked positive values and with one negative value for each group. example: trees<-c(20,30,10) shrubs<-c(12,23,9) veg<-c(2,3,4) soil<-c(-100,-123,-89) example1<-t(cbind(trees,shrubs,veg)) barplot(example1) #this works so far #but now: example2<-t(cbind(trees,shrubs,veg,soil)) barplot(example2) This shows no more

What is the best way to produce a barplot from my data? I would like the barplot to show each person with the values stacked val1+val2+val3, so there is one bar for each person When I use barplot(data.matrix(realdata)), it shows one bar for each value instead. To post here, I created an artificical data set, but it works fine. fakedata <- as.data.frame(list(LETTERS[1:3])) colnames(fakedata)

Dear all, I've got another question, By default barplot and plot seem to produce slightly different y-axis. The problem I've got is when using a mix figure with both, barplot and plot. For example: barplot(1:5, ylim=c(0, 6)) par(new= T) plot(1:5, 9:5, type="b", axes=FALSE, ylim=c(0,9)) axis(4) box() note that both plots (barplot and plot) should start at 0, but the exact

'barplot' doesn't seem to work with vcd library. Am I supposed to detach vcd when I want to use barplot? Here's an example. Say I have the following matrix, > m <- matrix(c(1,2,3, 4,5,6, 3,4,5, 2,3,4), ncol=4) > m [,1] [,2] [,3] [,4] [1,] 1 4 3 2 [2,] 2 5 4 3 [3,] 3 6 5 4 Then > barplot(m) gives a barplot of the data. However,

Dear Rxperts.. what settings in barplot and histogram do I use, to show bars in an monotonously increasing or decreasing order of the frequency of a categorical variable? an example is provided below.. histogram(~factor(sample(letters,200,rep=T))) I was able to get it in 3 - 4 steps.. l a1 <- sample(letter,200,rep=T) a2 <- table(a1) barplot(a2); barplot(sort(a2)) # all variables are not

Dear all, ## I have 4 tables like this: satu <- array(c(5,15,20,68,29,54,84,119), dim=c(2,4), dimnames=list(c("Negative", "Positive"), c("Black", "Brown", "Red", "Blond"))) dua <- array(c(50,105,30,8,29,25,84,9), dim=c(2,4), dimnames=list(c("Negative", "Positive"),

Hi, I am using barplot and would like to know if it is possible to have bars filled with one color while use a different color for the shading lines. The following code colors the shading lines, leaving the bars in white: barplot(1:5, col=c(1:5), density=c(1:5)*5) while the colors are applied to the bars when density is removed. barplot(1:5, col=c(1:5)) I did check ?barplot and found the