similar to: Interesting Plot

This is a general statistics question so I'm sorry if its outside the field of r help. Anyway, I have a suite of female and male traits and I have made a matrix of correlation coefficients using rcorr(). This results in a 6 by 6 matrix like this.. [1] 0.11287990 0.20441361 0.23837442 0.04713234 0.04331637 0.01461611 [7] 0.22627981 0.11720108 0.14252307 0.19531625 0.29989953 0.09989502

Hi, I have created the plot below and have a few questions about changes. 1) How do I change the "Year" title of each plot so it reads from the top "2006","2007","2008","2009". 2) How do I get rid of those vertical grey bars in the title bar of each plot? I apologise for my ignorance... one of those days :( James

Hi, How do I tell an if statement to generate two seperate outputs. E.g If X>5 I want to create df1 and df2: if (X>5) {df1<-c(4,5,6,7,8) AND df2<-c(9,10,11,12,13)} Thanks, James -- View this message in context: http://www.nabble.com/If-statement-generates-two-outputs-tp22650844p22650844.html Sent from the R help mailing list archive at Nabble.com.

Dear R-Users I have 2 questions: Firstly, If I create a matplot and legend for multiple vectors and then tag another vector on using matlines (e.g. a 'total' of all vectors), is there anyway to add the new line to the legend without recreating it? I have created the plot this way because I would like to define the lty and lwd for the 'total' vector so that it can be

Um texto embutido e sem conjunto de caracteres especificado associado... Nome: n?o dispon?vel Url: https://stat.ethz.ch/pipermail/r-help/attachments/20070401/33921c2a/attachment.pl

Hello, I'm sorry if this seems similar to my last post but I thought it was significantly different to warrent a new thread. Using the dataset below, is there a way to generate a bar/line plot for the TACC/Catch of every lvl of stock? i.e. OR1,OR3,OR5. The picture at the bottom of this post is an example of the bar/line plot for OR1 which was generated when OR1 was the only stock in the

Hi There, I have created the following function format<- function(){ repeat { form<-readline(paste("\nIn what format do you want to save these plots?\nChoose from: wmf, emf, png, jpg, jpeg, bmp, tif, tiff, ps, eps, or pdf.\nNote: eps is the suggested format for publication quality plots.\nPlot format --> ")); cat("\nI'm sorry, I don't know what that format

Hi Guys, I was wondering how you would go about solving the following problem: I have a list where the grouping information is in the row names. Rowname [,1] X1Jan08 324 X1Jun08 65 X1Dec08 543 X2Jan08 23 X2Jun08 54 X2Dec08 8765 X3Jan08 213 X3Jun08 43 X3Dec08 65 How can I create the following dataframe: Value Date Group [1,] 324 Jan 08 X1 [2,] 65 Jun 08

Hi, I'm sure these are basic problems so I apologise in advance for my ignorance. I have a dataset with X, Y, and a Factor with 4 levels. I am trying to figure out how to use lm() to find the r2 value, slope and intercept of an X~Y regression, for each level of the Factor. Is there a way to do this automatically without having to specify different subsets of the factor? my code so far:

Hi, I apologise for the stupid question but how to you get rid of the box around a plot in the package zoo? I can't seem to find an equivalent for bty="l" i.e. just x and y axis. Cheers James -- View this message in context: http://www.nabble.com/Zoo-Plot-Can%27t-Get-Rid-of-Box-tp21468452p21468452.html Sent from the R help mailing list archive at Nabble.com.

Hello fellow R users, I have a problem. I have created a barchart overlayed by an xyplot line, both of which read off the same Y axis. The problem comes when I try to generate a key. It seems that I can only create either two lines, or two rectangles. I would much prefer to have the barchat series depicted by a rectangle, and the xyplot series by a line. Is there a way to do this? Your help

Dear R users, How can I extract the residuals from a pcaiv/rda in ade4? In Vegan there is the residuals() function, giving the approximation of the original data from the unconstrained ordination Is there something similar in ade4? Nikos

Hi, I am create a new DF that summarizes the mean angle per treatment/trial, of the original DF (see below). I have had some success using: (tapply(df$Angle, INDEX=interaction(df$State, df$Trial), FUN=mean)); however, this gives the answer as a list, which means I would have to split the name to get the categories back. Does anyone know a simple way to transform the Original DF into Summary

Dear R users, The code below splits a dataset by "target_species" and then further splits each target species group by year. Finally the sum of a variable called "total_hook_num" is calculated and then assigned a name based on (paste(a$target_species[1],a$year[1],sep=""). newsplit<-split(newdataset,list(newdataset$target_species)) for(i in newsplit){

Hi all, I' m trying to figure out if it is appropriate to do a PCA having only categorical data (not ordinal). I have only find the following quote: One method to find such relationships is to select appropriate variables and to view the data using a method like Principle Components Analysis (PCA) [4]. This approach gives us a clear picture of the data using KL-plot of the PCA. However, the

Hello everybody, i'm having some trouble performing correspondence analysis with R for Mac OS X. Does anyone know about some useful package? And also, if i had found coordinates of points representing row and column profiles, how do i put them in a single figure with labels identifying each one of them? This thing is getting me almost crazy... Thank you in advance for answering, bye

Hi Now a more theoretical question. I have two correlation matrices - one of a set of variables under a particular condition, the other of the same set of variables under a different condition. Is there a statistical test I can use to see if these correlation matrices are "different"? Thanks Mick

I've been unable to find a R package that provides the means of performing Clarke & Ainsworth's BIO-ENV procedure or something comparable. Briefly, they describe a method for comparing two separate sample ordinations, one from species data and the second from environmental data. The analysis includes selection of the 'best' subset of environmental variables for explaining

Dear all: Subjects were measured two times (t1 and t2) on different variables (v1 ... vn). Between t1 and t2 there was an experimental manipulation. I computed two PCAs for time-points t1 and t2. Is it possible to combine both PCAs in order to get only one set of eigenvectors? Due to the experimental manipulation measurement values on time points t1 and t2 changed for each subject. Many

I know this question is very simple, but I am not figure it out I have the data frame:   test<- data.frame(year=c(2000,2000,2001,2001),x=c(54,41,90,15), y=c(29,2,92,22), z=c(26,68,46,51)) test   year    x   y   z 1 2000 54 29 26 2 2000 41  2  68 3 2001 90 92 46 4 2001 15 22 51   I want to sum the vectors x, y and z within each year (2000