similar to: How to represent factor levels & ordiellipses using different colors?

library(glmpath) data(heart.data) # heart.data is a list, $y a vector, $x a matrix data <- data.frame(x=I(heart.data$x), y = heart.data$y) > data[1:2,] x.1 x.2 x.3 x.4 x.5 x.6 x.7 x.8 x.9 y 1 160 12 5.73 23.11 1 49 25.3 97.2 52 1 2 144 0.01 4.41 28.61 0 55 28.87 2.06 63 1 > dimnames(heart.data$x)[[2]] [1] "sbp"

Hi Users, I am trying to plot 95% confidence ellipses around the 4 groupings found in a PCA ordination and identified a-priori by clustering. I am using ordiellipse to plot the ellipses and it works fine except one of my groups contains only 2 sites and I cannot get an ellipse around them. I'm assuming that 2 points is not enough to perform the relevant calculations here, however I would like

timh at insightful.com wrote: > library(glmpath) > data(heart.data) > # heart.data is a list, $y a vector, $x a matrix > data <- data.frame(x=3DI(heart.data$x), y =3D heart.data$y) > =20 >> data[1:2,] >> =20 > x.1 x.2 x.3 x.4 x.5 x.6 x.7 x.8 x.9 y > 1 160 12 5.73 23.11 1 49 25.3 97.2 52 1 > 2 144 0.01 4.41 28.61

Dear All: Greetings! I am able to produce an "xyplot" in R; But I am not able to put multiple legends on it! So for that matter, I have saved the "xyplot" and reproduced the same using the simple "plot" option. Then using the "legend" option I successfully placed the require text and its corresponding value over it. Now, when I try to copy it as a

Hi useRs, Many studies of the link between red meat and colorectal cancer use Cox proportional hazards with (among other things) a gender covariate. If it is true that men eat more red meat, drink more alcohol and smoke more than women, and if it is also true that alcohol and tobacco are known risk factors then why does it make sense to "adjust" for gender? I would think that in this

Here is an example: The legends (mainly the factor level names) are cut off on the right. Somehow the internal calculation which computes horizontal space for the legend is not flexible enough. ## Call a new graphics window {with default par()s !}: get(getOption("device"))() par(mfrow = c(2,2)) ## part of example(interaction.plot) _improved_ using with() : data(OrchardSprays)

I am new to R. I thing this will be simple, but I don't yet know my way around. I am generating character strings from the system clock that represent integers, and I want to convert them to integer values. Strtoi works well, except when there are leading zeros on the string. Could anyone suggest a way to remove those leading zeros? Thanks Paul -- E. Paul Wileyto, Ph.D.

Hello, R-Help - I am trying to plot the results of an ordination from package vegan. The tricky part for me right now is getting the colors of the ellipses denoting the 95% confidence intervals of the group centroids to match the colors of the points for those same groups. >From and earlier post, I saw the code to make a plot of the ordination using different colors for my different groups.

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On 16 Apr, Unung Istopo Hartanto asked about using R library 'foreign' to import SPSS Data Entry data files. SPSS Data Entry is an application that allows for the creation of formatted data entry forms (as does EpiInfo, Epidata and CSPro (all free downloads)). As such it creates the usual SPSS data files, but adds forms information, which the 'foreign' package does not know how

Hello, Consider two following cases: 1. On production systems on television stations, a sysadmin give teens (remaja group, age 13 and older) full administrator privileges by adding this line to sudoers: %remaja ALL=(ALL:ALL) ALL Rationale: Almost all programs on the system can only be run by teens as root. 2. On production systems on tobacco factories, a sysadmin also give adults (age 18

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 (Sorry if you get more than one copy of this message, but I felt that it was urgent to get this important info out.) The values of freedom and openness are crucial to understanding itself, so that civilization and public welfare now depend on them, as I argue below. These values may find their best expression in the free and open source software

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 (Sorry if you get more than one copy of this message, but I felt that it was urgent to get this important info out.) The values of freedom and openness are crucial to understanding itself, so that civilization and public welfare now depend on them, as I argue below. These values may find their best expression in the free and open source software

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 (Sorry if you get more than one copy of this message, but I felt that it was urgent to get this important info out.) The values of freedom and openness are crucial to understanding itself, so that civilization and public welfare now depend on them, as I argue below. These values may find their best expression in the free and open source software

Hello R experts, I am trying to plot ordiellipse for my data but the col according to factors. Metabolites_raw= read.csv(file.choose(), head = TRUE) #file 21Metabolites.csv Metabolites_t=t(Metabolites_raw[,2:82]) ord <- metaMDS(Metabolites_t, distance="bray") symbol=as.numeric(Metab_metadata$LandType) col.list <-

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 (Sorry if you get more than one copy of this message, but I felt that it was urgent to get this important info out.) The values of freedom and openness are crucial to understanding itself, so that civilization and public welfare now depend on them, as I argue below. These values may find their best expression in the free and open source software

Hi, I've been using R for a while now but I've got a problem with metaMDS (in the vegan package) that I can't quite figure out. I have a set of proportion data (from 0-1, rows sum to 1) that I apply metaMDS to using the command: nMDS.set=metaMDS(sqrt(test.set),distance="euclidean",k=3,zerodist="add",autotransform=FALSE) I am using a squared-chord distance

Hi, I could use a hand solving a fairly straightforward ordination plot problem: I am conducing NMDS on some community data for roughly 300 localities and 650 species. I have a community matrix, a species attribute matrix, and an environmental attributes matrix. After running metaMDS {vegan} on the community matrix, I can successfully use either of the other two matrices to draw hulls around