similar to: error in a abline loop

Hello, I am making a boxplot of 13 boxes. I tried to color the box using 13 colors but failed. Only red and brown were displayed. Green, blue, and grey disappeared. Please kindly advise modification after checking the code below. Thank you in advance. Elaine R code # data input dataN <-read.csv("H:/a_mig_distance_B_NB/R_data/Mig_bird_586_20120925.csv",header=T, row.names=1)

Hello This is Elaine. I am using package lattice to generate boxplots. Using Richard's code, the display was almost perfect except the outlier shape. Based on the following code, the outliers are vertical lines. However, I want the outliers to be empty circles. Please kindly help how to modify the code to change the outlier shapes. Thank you. code package (lattice) dataN <-

Hello I want to draw a plot using the code below. Further, I want to add labels (White, Yellow, Red) to x-axis. Please kindly advise how to add the categorical labels, by modifying the code. Thank you. Elaine Code dataN <-read.csv("H:/skin_color.csv",header=T, row.names=1) dim(dataN) dataN[1,] str(dataN) obs.group<-dataN$skin_color

Ok, now we have the mapping of color names to color codes (see below) and conversion to rgb (something like Ben Bolker's function), but how to convert rgb to hsv? Thanks to Brian Ripley, Peter Dalgaard and Ben Bolker Details below Regards Jens etc/colors.big maps 455 names to rgb in S syntax etc/rgb.txt maps 657 names to rgb in C syntax, but unlike colors() it has mixed upper and

Hello R experts I have two linear regressions for sexes (Male, Female, Unknown). All have a good correlation between body length (response variable) and head length (explanatory variable). I know it is not recommended, but for a good practical reason (the purpose of study is to find a single conversion factor from head length to body length), the regressions need to go through the origin (0

Hello everyone, I'm trying to plot the initial and final size of some tadpoles and look at their growth rates (slope of line). They are divided into 6 densities, and so far I have plotted the initial and final sizes (these are means for a pool), and color coded for the 6 densities, but I want a line to connect the initial and final value for each pool (also color coded by density). Any ideas?

Hello I have a data composing three columns: body weight, body length, and sex. I want to draw a box plot, X-axis for body weight, Y-axis for body length. In the boxplot, I want to compare the body length between two sexes of three groups of body weight: <50, 51-100, >101 kg. (For instance, from left to right, the first boxplot: sex =1, body weight <50 the second boxplot: sex

Dear all, Could anyone help me with the following? DATA <- data.frame(rbind(c("Red1", 1, 1, 1), c("Blue1", 1, 1, 1), c("Red2", 1, 1, 1), c("Red3", 1, 1, 1))) colnames(DATA) <- c("A", "B","C", "D") #Option 1 DATA <- DATA[-2, ] #Same result I would like to achieve with Option 2 #Option 2 - I would like to do

Dear R-users, I want to plot residuals vs fitted for multiple groups with ggplot2. I try this code, but unsuccessful. library("plyr") models<-dlply(dat1,"d",function(df) mod<-lm(y~x,data=df) ggplot(models,aes(.fitted,.resid), color=factor(d))+ geom_hline(yintercept=0,col="white",size=2)+ geom_point()+ geom_smooth(se=F) -- --- Catalin-Constantin ROIBU

Hello, I am using xyplot and am happy with my graph, *except* that I cannot get the symbols to be filled. I tried using bg=c("red3","red","black","lightgrey")) in both the key and the xyplot function, that that was obviously not the answer. I would like the sybols to be filled with the same colors as the lines. Does anybody have an answer? In case

http://www.nabble.com/file/p14664173/at-modality.png I created the above image with R and I have one problem left: Some of the labels of the axes do not show up, probably because there's not enough space. I use the following code to create the plot: modality <- read.table("results.table", header=TRUE, sep=",") color <-

Hey all, first time poster here. I'm new to R and working on my first real programming and forecasting asignment. I'm using unemployment data from 1948-2012. I successfully completed part a and the linear fit for part b, but i am really struggling fitting a polynomial with a power greater than 2 to my forecast. I'll upload my R code at the bottom. Any help is very much appreciated!

Hello, r-help at r-project.orgbarplot(twcons.area, beside=T, col=c("green4", "blue", "red3", "gray"), xlab="estate", ylab="number of persons", ylim=c(0, 110), legend.text=c("treated", "mix", "untreated", "NA")) produces a barplot very fine. In addition, I'd like to get the

hi, I'm doing some data on least square curve fitting. What I like to have is to compare the scatter plot whilst having the fitting curve on the same coordinates. Any suggestting command besides plot(x,y). TaweeMac OSX 10.7.3 [[alternative HTML version deleted]]

Dear all, I'm having problems with the tick of my graph. I'mpcombining lines and barplot. For my I'm using the function axis combined with the function pretty to have more efficient tick, but all my tick (for example, 300 as my max tick and -100 as my min tick) are not printed on my graph. So I would like to have for the left axis the seq from 0 to 100 (with 0 and 100 printed on

Dear list, I would like to apply my own colours to a stacked area plot, done with qplot, but I have not succeeded... What do I have so far (I am dealing with the development of cover of specific groups of plants): library(ggplot2) library(RODBC) channel <- odbcConnect("myusername", case="tolower") sql <- "select trial, cover_of, dateofsurvey, cover from

Is there a place that shows how to create two plots that are stacked on top of each other where they share a common x-axis scale, but have differnt y-axis scale? Say have the following data: airquality Stack plot(airquality$Day, airquality$Wind) on top of plot(airquality$Day, airquality$Temp). I am interested in stacking the two on top of each other with no seam, or plotting the two lines with

Hello >From the following script I received a grafic output when I called: - xyplot.test( 'green3' ) - call.xyplot.test( 'blue3' ) I did NOT receive a grafic output when I called: - loop.xyplot.test( 'red3' ) What's the Problem? NB: I am using R 1.4.1 on Linux. --------- START OF SCRIPT ---------------- n <- 1000 x <- seq( 1, n ) y <- rnorm( n )

Hello, I think this might be a beginner question, but I couldn't find the answer in the manual... http://www.nabble.com/file/p14618947/at-modality.png I created this image with R by using the following code: modality <- read.table("results.table", header=TRUE, sep=",") color <-

By any chance has anyone put together the R code for reproducing the Firefox Downloads Analytics Map in R? Here is a link to an example: http://www.knitwareblog.com/wp-content/uploads/2008/06/firefox-3-download-map.jpg I'll try to track down the inputs, but I am interested in putting the code to produce this or something similar. Any hints about the best packages, or references to R Blog