search for: xvmult

...ing if there is a simple way to avoid printing the multiple cross-validation automatic output to the console of recursive partitionning functions like rpart or mvpart. For example... > data(spider) > mvpart(data.matrix(spider[,1:12])~herbs+reft+moss+sand+twigs+water,spider,xv="1se",xvmult=100) *X-Val rep : 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 7...

...ying to run mvpart and create a MRT using explanatory variables and covariables. I've been following the procedures in Numerical Ecoogy with R. The command (no covariables) which works fine - ABUNDTMRT <- mvpart(abundance ~ .,factors,margin=0.08,cp=0,xv="1se",xval=nrow(abundance),xvmult=100,which=4) where abundance is 4th root transformed fish abundance (103 species x 168 samples), and factors is the relief (high, medium, low profile, sand inundated reef, flat), benthos (coral, sessile inverts, kelp, macroalgae, seagrass, sand), depth (continuous in meters), latitude, and longitu...

...Here is the sequence of commands I used sprot_matrix=read.csv("sprot_matrix.csv", row.names=1) sprot_matrix require(mvpart) mrtsprot_matrix <- mvpart(data.matrix(sprot_matrix [,1:47]) ~SECCHI+PH+TA+PTOT+NTOT+CHLA+AREA+ MEANDEP, sprot_matrix,xv="pick",xvmult=500,use.n=TRUE,all=TRUE,text.add=TRUE) [[alternative HTML version deleted]]

...data through rpart yields no errors, and I don't remember seeing this when I ran the same data through mvpart a couple years ago. Any suggestions as to where a solution might lie? Full output: > summary(thesis.mvp) Call: mvpart(form = bat_sp ~ ., data = alltrees.df, size = 6, xval = 8, xvmult = 1000, plot.add = TRUE, text.add = TRUE, all.leaves = TRUE, bars = TRUE, legend = TRUE, bord = TRUE, prn = TRUE) n= 78 CP nsplit rel error xerror xstd 1 0.23076923 0 1.0000000 1.0000000 0.1132277 2 0.16666667 1 0.7692308 1.0940256 0.1122883 3 0.05128205 3 0....

Hello everyone, I am currently using the mvpart package and would like to change the color scheme it uses, and was hoping someone could help me out. All of the papers I have found have used a grayscale but I can't seem to figure out how they did that! Currently, mvpart plots barplots in a repeating sequence of 3 shades of blue. So if you have 6 response variables the same shade of blue is used