similar to: pairs() Legend

The following command produces red axis line in a pairs plot: pairs(iris[1:4], main = "Anderson's Iris Data -- 3 species", pch = "+", col = c("red", "green3", "blue")[unclass(iris$Species)]) Trying to fool pairs in the following way produces the same plot as above: pairs(iris[1:4], main = "Anderson's Iris Data -- 3

Dear R-users, I would like to add a legend at the bottom of pairs plots (it's my first use of this function). With the plot function, I usually add some additional space at the bottom when I define the size of the graphical device (using mar); grid functions then allows me to draw my legend as I want. Unfortunatley, this technique does not seem to work with the pairs function as the

Hi there, I got a piece of code for the Iris data which allows to display correlation coefficients for each Iris species in the lower panel (color coded). I would now like to add e.g. a "*" to show the significance of each correlation next to the correlation coefficient. Furthermore I would like to make a t.test between the species "setosa" and "versicolor" for

Hi list, not sure if this is the wanted behavior, but running the following code: > version platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor 1.1 year 2005 month 06 day 20 language R > n <- 500 > d <- 4 > m <- matrix(runif(n*d, -1, 1), ncol=d) > c <- hsv(apply(m, 1, function(x) {sum(x*x)/d}),

Hi list, not sure if this is the wanted behavior, but running the following code: > version platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 2 minor 1.1 year 2005 month 06 day 20 language R > n <- 500 > d <- 4 > m <- matrix(runif(n*d, -1, 1), ncol=d) > c <- hsv(apply(m, 1, function(x) {sum(x*x)/d}),

Does anybody know how to make pairs graphics with dots of different colours depending on the value of a categorical variable ? Thanks, Arnaud ************************* Arnaud DOWKIW Department of Primary Industries J. Bjelke-Petersen Research Station KINGAROY, QLD 4610 Australia T : + 61 7 41 600 700 T : + 61 7 41 600 728 (direct) F : + 61 7 41 600 760 **************************

I have the following problem. I want to use pairs function and get a matrix of scatterplots with the correlations in the upper panel and the ordinary scatterplots in the lower panel. Moreover, I want to have points colored in five differet ways in the lower panel, because I have five subgroups. In order to do that I tried to combine examples on pairs function help. I got a colored matrix

Is there a way of extracting mean distance or dissimilarity for a given strata from a 'dist' or 'dissimilarity' object, e.g. extract mean distances for each species in Anderson's iris data? data(iris) iris.dist<-dist(iris[,1:4]) then what? Mikkel Grum, PhD Genetic Diversity Scientist International Plant Genetic Resources Institute (IPGRI) Sub-Saharan Africa Group ***

Dear R-helpers, I'm trying to learn how to use odfSweave. Here is my source file (in /Users/mk/myTeach/2010-1-7720/odfWeave): **************************************** Analysis of the iris Data Created on \Sexpr{date()} <<loadLibs, echo = FALSE, results = hide>>= # I usually load the libraries first so that any output produced by loading the library does not end up in the

Hi, there: Does anyone know how to specify the ranges in the axises when I make scatter plots using pairs()? In the general plot function, I can use xlim and ylim option. But how can I do this if I use pairs()? Thanks. Yulei [[alternative HTML version deleted]]

Hello, I'm trying to pull off a certain graph using splom, and can't quite get my panel functions right. Basically, the equivalent using pairs would be something like this (using iris data set as an example): panel.corval <- function(x, y, digits=2, prefix="", cex.cor,col,pch) { usr <- par("usr"); on.exit(par(usr)) par(usr = c(0, 1, 0, 1))

Hi - I would like to create a scatterplot with the symbols coded by a factor in each record. Is their a better way than what I have used below? I attempted to use the plot.factor, but cannot force it to make a scatterplot instead of boxplots. I have considerd making a function with a 'for' statement for each level of the factor. Is there a better way for when I am dealing with more

Hi, I'm using mda library to solve a discriminant analysis. I get results, but the thing is that I want to use Fisher's method to obtain the classification functions and I'm lost in what I should do: libraries to use, ... Can anybody give me a clue?? Thanks. Carlos Niharra L??pez

I have a dataset and I wish to use two different models to predict. Both models are SVM. The reason for two different models is based on the sex of the observation. I wish to be able to make predictions and have the results be in the same order as my original dataset. To illustrate I will use iris: # Take Iris and create a dataframe of just two Species, setosa and versicolor, shuffle them

Hopefully I will not be flamed for this on the list, but I am starting out with R and having some trouble with combining plots. I am playing with the famous iris dataset (checking out example dataset in R while reading through Introduction to datamining) What I would like to do is create three graphs (combined boxplots) besides each other for each of the three species (Setosa, Versicolour and

Guys, I used Random Forest with a couple of data sets I had to predict for binary response. In all the cases, the AUC of the training set is coming to be 1. Is this always the case with random forests? Can someone please clarify this? I have given a simple example, first using logistic regression and then using random forests to explain the problem. AUC of the random forest is coming out to be

Greetings, I have been exploring the use of the caret package to conduct some plsda modeling. Previously, I have come across methods that result in a R2 and Q2 for the model. Using the 'iris' data set, I wanted to see if I could accomplish this with the caret package. I use the following code: library(caret) data(iris) #needed to convert to numeric in order to do regression #I

Hi R People: Several of you pointed out that using "tapply" on a data frame will work on the iris data frame. I'm still having a problem. The iris data frame has 150 rows, 5 variables. The first 4 are numeric, while the last is a factor, which has the Species names. I can use tapply for 1 variable at a time: >tapply(iris[,1],iris[,5],mean) setosa versicolor virginica

Hi, I've looked at the parameters available for the legend function and cannot find a way to change the distance between the top of the box surrounding a legend and the legend's title. I have a math expression that raises the height of my title. If you don't mind the non-sensical title I give to the legend for this plot (Figure 3.20 in R Graphics): with(iris,

Hi there: I have a question about generating mean value of a data.frame. Take iris data for example, if I have a data.frame looking like the following: --------------------- Sepal.Length Sepal.Width Petal.Length Petal.Width Species 1 5.1 3.5 1.4 0.2 setosa 2 4.9 3.0 1.4 0.2