search for: xaxlab

What I want to do is create a horizontal bar chart matrix for a set of data that have a common set of variables (e.g., % of As, % of Bs, etc.) listed on the Y-axis and groups (e.g., Classes) on the X-axis. The key here is that the bars for each individual class plot are "centered" rather than left or right-justified. In archaeology plots similar to this are called battleship curves or

Hi, I have a data set like this: Mutant Rep Time OD 02H02 1 0 0.029 02H02 2 0 0.029 02H02 3 0 0.023 02H02 1 8 0.655 02H02 2 8 0.615 02H02 3 8 0.557 02H02 1 12 1.776 02H02 2 12 1.859 02H02 3 12 1.668 02H02 1 16 3.379 02H02 2 16 3.726 02H02 3 16 3.367 306 1 0 0.033 306 2

...of xat in stackpoly. This is a time series of data covering 579 years, and has been successfully converted from zoo to matrix. Data plotting fine, jsut want to change axis - CaribMatrix<-as.matrix(ts4Ex) stackpoly(CaribMatrix, stack=TRUE, xlab="Year",ylab="Catch in tons", xaxlab=(1250:2008), main="Historical Florida reef fisheries catch by sector", axis4="FALSE") Any assistance appreciated! Thanks very much, Benjamin P Neal, Scripps Inst. of Oceanogrpahy

Dear researchers I wish to plot a box plot without the mean line (the black line) and plot only the mean (red square). Futhermore, is it possible to add standard error and/or stadard deviation? This is an example mytest <- c(2.1,2.6,2.7,3.2,4.1,4.3,5.2,5.1,4.8,1.8,1.4,2.5,2.7,3.1,2.6,2.8) boxplot(mytest,lty = "solid") means <- mean(mytest,na.rm=TRUE) points(means, pch = 22, col

Dear all, I am fairly new to package Plotrix and I would like to ask you, if any of you could help me with following. a) I don't know how to set up border line width in the Stackpoly function (seems that lwd from par doesn't work, or at least not in the way I have written) b) I don't know, how to rotate the x axis labels (I used srt=45, but same problem as before). c) Could anyone

I have a matrix of p-values for for each explanatory variable. Each row is an area of the response variable and each column is an explanatory variable. e.g. PSA pval_DOY pval_PDSIconcurrent pval_PDSIantecedent_annual_average pval_TMAXanomaly pval_FM100anomaly 1 NC06 0.96747495 0.6092668 0.53353019 0.9301115 0.99801334 2 NC04 0.04699659

Hi, I'm trying to create a plot showing the density distribution of some shipping data. I like the look of violin plots, but my data is not continuous but rather binned and I want to make sure its binned nature (not smooth) is apparent in the final plot. So for example, I have the number of individuals per vessel, but rather than having the actual number of individuals I have data in the

station month bas 190 5 0.000 190 7 1.563 190 10 0.000 190 11 0.000 202 4 18.750 202 5 18.750 202 7 6.250 202 10 4.800 202 11 3.125 198 4 18.750 198 5 31.250 198 7 3.125 198 10 3.200 198 11 12.500 205 4 0.000 205 5 0.000 205 7 0.000