search for: ncolors

Dear R users, I'm interested in a combination of a scatterplot and an image graph. I have two large vectors. Because in the scatterplot some areas are sparsely and others densely populated, I want to see the points, and I also want their color to be changed based on their density (similar to a heat map). Is there a function that can do that? Thank you, b.

...sel = ( zcol[subscripts] == i.col ) , fill = col.regions[i.col] ) } } } } #------ EXAMPLE ----------------------------------------------------------- data(esoph) library(lattice) example1.catlevelplot.esoph <- function( ... ){ ncolors <- nlevels( esoph$alcgp ) print( levelplot( ncases ~ agegp * alcgp | tobgp, data=esoph , main = 'esoph data set' , sub = 'tobgp' , cuts = ncolors , layout = c( 4, 4 ) , scales=list( x = list( labels = le...

Hello, I'm trying to make a 3d plot using rgl in which the size and color of each point corresponds to certain attributes of each data point. The color attribute, let's call it X, is scaled to go from 0 to 1. The rainbow(64,start=0.7,end=0.1) palette is perfect for what I want but I don't know how to take that palette and pick a color from it based on the value of X for a given data

Sorry, I just realized I didn't type in the correct names of the variables I am working with, this is how it should be: plot(1,1,type="n") for (i in summ$tx) { points(summ$timep[summ$tx==i],summ$mn[summ$tx==i]) lines(summ$timep[summ$tx==i],summ$mn[summ$tx==i]) } Thank you, Judith ____________________________________________________________________________________

...plot.mefista.Rd Content-Disposition: attachment; filename="plot.mefista.Rd" \name{plot.mefista} \alias{plot.mefista} \title{Plot an object of class mefista.} \usage{ plot.mefista(mef,draw.style=NA,Space=mef$param$space,xgrid=mef$param$xgrid, ygrid=mef$param$ygrid,nlevels=15,ncolors=0,\dots) } %- maybe also `usage' for other objects documented here. \arguments{ \item{mef}{An object of class \code{mefista}.} \item{draw.style}{Values: 0 - linear, 1 - \code{\link{image}}, 2 - \code{\link{contour}}, 3 - \code{image()} \emph{and} \code{contour} superposed, 4 - \code...

...a 256 color scale. A code example is below: png(file="file.png", 4000,4000) par(mar=c(0,0,0,0)) myTile <- readGDAL("basemap.png",silent=TRUE); #basemap.png is a PNG file returned from googlemaps myTile at data <- myTile at data[,1:3] col <- SGDF2PCT(myTile,ncolors=256) ## myTile is a spatialGridDataFrame with 3 bands myTile$ind <- col$idx ## add the colour index to the data frame myTile <- as.image.SpatialGridDataFrame(myTile["ind"],1,2)$z; attr(myTile, "COL") <- col$ct; attr(myTile, "type") <- "rgb&quot...

Dear R-helper, I wonder if anyone can help me. I am trying to convert a dataset to a format recognizable by a software onboard a research vessel but I am having problems with some steps. I have a data frame as follows: Conc Lat Lon Depth Point0000 56.25 -5.65 70 Point0001 56.55 -5.35 85 Point0002 56.25 -5.65 65 Point0003 56.37

...ot;) the resulting plot does not contain the color labels i.e. the variable names of my data table, even though they exist and are included as column names of tableToCluster. I also tried the following line: plot(self_Organising_Map, type="codes", codeRendering = "segments", ncolors=length(colnames(self_Organising_Map$codes)), palette.name=rainbow, main = "Kohonen Map of Clustered Profiles \n Codes", zlim =colnames(self_Organising_Map$codes)) but it had the same result. If you could please help with what argument I should use to show the [[elided Yahoo spam]] Kind...