similar to: how to make lien smoothly over barplot

Dear I try to add three different lines (solid, short dash, long dash) in to current barplot. I saw there are types of lines ("p","b", ect). However, they are not what I request. Has nayone have this experience? Many Thanks! Xin [[alternative HTML version deleted]]

Dear: I want to plot barplot and let bar be in the middle of each x axis category. Do you have this experience? Many Thanks! Xin [[alternative HTML version deleted]]

Hi All, I have googled and tried finding if someone has ever tried producing (Grouped + Stacked) Barplot. I couldn't find one. My data needs to be reshaped, but once it is done it would be something like this: Factor1 Factor2 Factor3 Value A X P 10 A X Q 20 A Y P 20 A Y Q 5 A Z P 20 A Z Q 10 B X P 20 B X Q 10 B

Dear all: I fitted "Observed" into a distribution as frequency. The predicted values are calculated as "predicted" for frequency. bins is "x". I plot observed, predicted against x in a graph. the commond is here.

Dear: I am trying to plot the histogram graph for my observed data. Then plot fitted distribution on the same graph of histogram plot in R. 1. histogram plot y. 2. based on "1", plotting y1 v. x; 3. based on "1", plotting y2 v. x; 4. based on "1", plotting y3 v. x; All of these four plots must be on the same graph. However, I found the difficulty is

Dear R users I would like to group my barplot graph (see example on the R help link). The proposed R code, adding individual bars to the plot, looks really overwhelming. My specific dataset just consists of five groups and three different levels within each groups (the individual bars). The .txt file is read as matrix (horizontal: group, vertical: levels). The R trellis barchart (function

Greetings. I'd like to generate a graph that displays two distributions as side-by-side bar graphs, then plots a smoothed line of the distribution on top. The idea is to be able to visually compare the distributions. I've done the following, but the axes don't line up. Any suggestions? barplot(table(hcd.df$datecat, hcd.df$auth.sum), beside=TRUE,

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"),

I have a matrix with 12 rows (one for each month), 2 columns (baseflow, runoff). I would like to make a barplot similar to Excel’s “clustered column chart”. Here is my matrix ‘x’ 8.258754 13.300710 10.180953 10.760465 11.012184 13.954887 10.910870 13.839839 9.023519 11.511129 7.189241 12.519830 5.925576 17.101491 5.211613 13.585175

Helo everybody, I'm new to R and have some issues with my data in R. My raw data look like that: ID Day size 1 1 7 1 1 7.2 1 1 7.1 2 1 7.3 2 1 7.4 2 1 7.2 3 1 7 3 1 7.1 3 1 7.5 4 1 7.3 4 1 7.2 4 1 7.6 1 2 7 1 2 7.2 1 2 7.1 2 2 7.1 2 2 7.4 2 2 7.2 3 2 7.5 3 2 7.1 3 2 7.5 4 2 7.2 4 2 7.2 4 2 7.3 1 3 7.4 1 3 7.2 1 3 7.1 2 3 7.2 2 3 7.4 2 3 7.2 3 3 7.4 3 3 7.2 3 3 7.5 4 3 7.4 4 3 7.2 4 3 7.7

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.

'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,

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 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

On Fri, 16 Apr 2004 09:59:02 -0400 Duncan Murdoch wrote: > On Fri, 16 Apr 2004 15:44:52 +0200, Achim Zeileis > <Achim.Zeileis@wu-wien.ac.at> wrote : > > >On Fri, 16 Apr 2004 11:40:46 +0200 (CEST) phgrosjean@sciviews.org > >wrote: > > > >> Bars are not stacked, but superimposed. This happens even with the > >> first example of barplot: >

Dear all, I would like to visualise when days are rainy or dry in bar/boxplots. Therefore I've tried to combine raingauge data (boxplots) and percentage of raingauges with 0mm measurements (barplot). See attachment mei2004.pdf (if it came through). I've come this far: barplot(dcp0[monthindex], col="gray", border=NA, axes=F) boxplot(t(dcpn[monthindex,]),

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

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

This in an enhancement requestion, to add the capability to pass arguments through barplot() to legend(). I've created a version that does this. # Run this code; notice that the legend # is superposed over one bar: barplot(height = cbind(x = c(465,91) / 465 * 100, y = c(840,200) / 840 * 100, z = c(37,17) / 37 * 100), beside = FALSE, width =

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