similar to: axis invertion

Dear Contributors: I have the next matrix: "X" "Y" "Z" 1 2 526 2 5 723 3 10 110 4 7 1110 5 9 34 6 8 778 7 1 614 8 4 876 9 6 249 10 3 14 I want to order the matrix from bigest Z (1110) to lower Z (14). Then I want to asign a color scale vector from blue ( bigest Z) to orange

Hi all, I want to make a vector with the third column of a matrix, but only for the 2+3n rows of the matrix, with n being an entire number from 0 to a million. How can I do that in an easy way? Thanks in advance, Juan Pablo [[alternative HTML version deleted]]

hi Juan, It is not so elegant, but work fine. I know that our colleagues can do it on a simple line. z<-c(526,723,110,1110,34,778,614,249,14) v1<-NULL v2<-NULL for (i in 1:(length(z)-1)) { for (j in i:length(z)) { v1<-rbind(v1,z[i]) v2<-rbind(v2,z[j]) } } df<-data.frame(cbind(v1=v1,v2=v2)) names(df)<-c("v1","v2") df$ratio<-df$v1/df$v2 Kind regards,

Hi all, Is there an easy way to generate an object wich will be the same matrix, but ordered by de cfp value? The data frame consists of numeric columns: "Block" "X" "Y" "cfp" "yfp" "ID" 0 524 244 213.41795 7.18482109 1 0 556 270 65.383904 9.568372661 2 0 528 316 40.789474

Hi all, I have the next matrix: a b c 1 2 23 2 3 42 3 0 54 4 5 23 5 0 22 6 7 21 7 1 20 8 9 19 I want to filter the rows with the values of b higher than 1 in a way that leaves me the next matrix: a b c 1 2 23 2 3 42 4

Hello, The function barplot automatically creates a y-axis that doesn't necessarily cover the range of y-values to be plotted. I know how to manually create my own y-axis so that it does cover the range, but I was wondering if there is some parameter to change so that the scale of the y-axis is automatically taller than the tallest bar. I thought setting xpd=F would do it, since it says that

Hi, I want to plot grouped bars to compare 95% confidence interval estimates from two models. Each bar represents a 95% confidence interval estimate of a coefficient from one of the two models. Each group represents confidence interval estimates of the same coefficient from the two models. I think such a bar plot will nicely present whether 95% confidence interval estimates of the same

Hi R fans, As a newbie following the five-hour rule (after hitting my head against the wall for five hours, post to this list), I am appealing for some help understanding geom_rect() in ggplot2. What I want to do is very simple. I want to generate a plot of rectangles. Each one represents a business cycle. The x-values will be pairs representing the start and end of each cycle. The y-values

Hello I have created a graph using the following commands: <<< startBReP3O1T <- diffs$BReP3O1T - diffs$diff_BReP3O1T endBReP3O1T <- diffs$BReP3O1T x <- seq(47,89, length = 10) ymin <- min(min(startBReP3O1T), min(endBReP3O1T)) ymax <- max(max(startBReP3O1T), max(endBReP3O1T)) y <- seq(ymin, ymax, length = 10) plot(x,y, type = 'n', xlab = 'Age', ylab =

plot.hclust: Setting up a window for a dendrogram assumes the first link is the shortest and the last is the longest. This is not always the case when the clustering was done with hclust, method="median" or method="centroid", and the dendrogram sometimes doesn't fit within the window. I propose the fix listed below. src/main/ --- plot.c Wed Sep 17 01:03:39 2003 +++

Hello All: Can anybody tell me what is the problem with my program please. I have an error message as appears below. My program is: ifn <- "Jul08_09.LM" data <- read.table(ifn) ofn <- "Jul.png" bitmap(ofn, type = "png256", width = 30, height = 30, pointsize = 30, bg = "white",res=50) par(mar=c(5, 5, 3, 2),lwd=5)

Dear All, I have this script: dat <- data.frame(Month = hstat$Date,C_avg = hstat$C.avg,C_stdev = hstat$C.stdev) ggplot(data = dat, aes(x = Month, y = C_avg, ymin = C_avg - C_stdev, ymax = C_avg + C_stdev)) + geom_point() + geom_line() + geom_errorbar() dat <- data.frame(Month = hstat$Date,K_avg = hstat$K.avg,K_stdev = hstat$K.stdev) ggplot(data = dat, aes(x = Month, y = K_avg,

Dear R-ers, I hope there is a really simple solution to my problem. I've written a function that I saved in an .r file. I source this file in my code. For a while it worked fine. But then when I run the line: source("F mylineplot.r") I started getting a warning: In readLines(file) : incomplete final line found on 'F mylineplot.r' I have no idea why - I tried to check and

I have a xml exported by Manifold GIS but I'm not being able to import it into R using XLM package. The file have this structure: <?xml version="1.0" encoding="UTF-8" ?> - <layout> <name>Layout 2</name> <pagesByX>1</pagesByX> <pagesByY>1</pagesByY> - <elements> <legend

Hello, I'm attempting to plot error bars side by side rather than stacked on top of each other with ggplot2. Here is the sample code I am using: #Code #Data spd<-c("s","f","f","s","f","s","s","s","f","f","s","f") r<-c(4.9,3.2,2.1,.2,3.8,6.4,7.5,1.7,3.4,4.1,2.2,5)

Dear Contributors: I have two vectors x and z, and I want to display the histograms of both vectors in the same graph, x in red bars, z in blue bars. If you have any clue on how to do that, I will be very glad to hear it!!!!!! Thanks in advance again, Juan Pablo Fededa [[alternative HTML version deleted]]

Hi, I am trying to create what are called "spider diagrams" in the geochemical literature using R. A spider diagram is basically a plot of the atomic number versus the concentration on a log scale. Lines are drawn from each atomic number for each sample. Right now, my data frame looks like: SAMPLE SITE V3 LA.NASC LAATNUM CE.NASC CEATMNUM 1 1A:001

Hi, i'm using this lines of code: dodge <-position_dodge(width=0.9) ggplot(dfm,aes(x = X,y = value)) + geom_bar(aes(fill = variable), position=dodge, stat="identity") + geom_errorbar(aes(ymin=value-er, ymax=value+er),width=0.25, position=dodge,stat="identity") to plot this data frame X variable value er 1 A X4 58.74 9.44 2 B X4

Dear List, I am having trouble setting the transparency of a ribbon in ggplot2 and was wondering if anybody had any suggestions so far i have a plot exactly as i want it and i want to add a ribbon connecting the ymax and ymin, whci i do with the following command m10 + stat_summary(geom="ribbon", fun.ymin="min", fun.ymax="max") However the ribbon is a dark grey

Dear Contributors: I have the next vector: "Z" 526 723 110 1110 34 778 614 249 14 I want to generate a vector containing the ratios of all the values versus all the values of the z vector. I mean a vector containing the values of 526/723, 526/110, and so on, 723/723, 723/110, and so on, and so on. Is this doable in a simple way?? Thanks in advance again, Juan Pablo Fededa