search for: sbigelow

How can I eliminate the border drawn by default around a wireframe plot? I've tried using border=NA and box=FALSE to no avail. Scott Waichler Pacific Northwest National Laboratory scott.waichler at pnl.gov

...ydate$day [1] 19 But when I try to extract the month > mydate$mon [1] 3 it returns the wrong month. And mydate$year is off by about 2,000 years. Am I doing something wrong? Dr. Seth W. Bigelow Biologist, USDA-FS Pacific Southwest Research Station 1731 Research Park Drive, Davis California sbigelow@fs.fed.us / ph. 530 759 1718 [[alternative HTML version deleted]]

I have a data set similar to this: P1id Veg1 Veg2 AreaPoly2 P2ID 1 p p 1 1 1 p p 1.5 2 2 p p 2 3 2 p h 3.5 4 For each group of "Poly1id" records, I wish to output (subset) the record which has largest "AreaPoly2" value, but only if

I wish to create a multipanel plot (map) from several datasets ("d" and "q" in the example below). I can condition the main xyplot statement on the "site" variable, but I don't know how to pass a conditioning variable to panel.xyplot plot so that the x-y coordinates from dataset q are only plotted at the appropriate site. library(lattice) d <-

...th) # Make vector with list lengths last_only <- mylist[[1:length(mylist)]][last] # Crash and burn trying to make new vector with last items! How do I do this last step? Dr. Seth W. Bigelow Biologist, USDA-FS Pacific Southwest Research Station 1731 Research Park Drive, Davis California sbigelow@fs.fed.us / ph. 530 759 1718 [[alternative HTML version deleted]]

I have a moderately complex graph with three panels. There are data points plotted, and fitted lines are added using a panel function, which includes "with(alt.data[[which.packet()[1]]]" statements. It all graphs out beautifully, but none of the usual tricks to get the proper legend to plot are working, i.e., using auto.key, key, etc. One message I keep getting is Error in

Friends: I wish to overlay data points on a contour graph. The following example produces a nice contour plot, but I have not mastered the concept of using panel functions to modify plots. Can someone show me how to overlay the data points (given after contour plot statement) on the contourplot? --Seth model <- function(a,b,c,X1,X2) # provide model function for contour

I'm writing an expression that requires searching a vector according to group. As an example, I want to find the maximum value in each of 5 groups. group=rep(1:5, each=5) # create grouping variable variable=rnorm(25) # generate data d <- data.frame(group,variable) # make data frame

I wish to display a single-panel Lattice figure with grouped data and fitted regression lines. I don't seem to be able to get the individual regression lines to display, e.g.; d <- data.frame(q = rep(1:6, each=10), cc = rep(seq(10,100, 10),6)) # create data frame with group identifier 'q', independent variable cc d$ba = d$q*0.1*d$cc + 5*rnorm(nrow(d))

I would like to remove the outermost box from my wireframe plots -- this is the box that is automatically generated, and is not the inner cube that frames the data. There was a thread on this 4 yrs ago but none of the fixes work (e.g., grid.newpage(), grid.lines(gp = gpar(col = NA)) or par.box=list(col=1),col=NA. These just make the data or the cube disappear. Has anyone solved this issue?

I wish to identify groups representing different treatments, but to plot them and do a regression using a continuous variable ("cover") ignoring the groupings. d$year <- NA d$year <-c(rep(2007,12), rep(2008,12)) d$treatment <- c(rep("A",4),rep("B",4),rep("C",4), rep("A",4), rep("B",4), rep("C",4)) d$cover <-

I'm working on a contourplot( ) graph, the subject of several previous posts to this list. The contours express probabilities from 0 - 1, but the key that is automatically generated by contourplot pads the probability scale with values that are impossible (i.e, range goes from -0.2 to 1.2), which will be confusing to those who view the plot. How can I get the scale to just run from 0 - 1?

I would like to eliminate the outer box around a lattice wireframe graph, but the usual recommended solution, which is to assign a color of 'transparent' to the axis.line parameter, eliminates ticks if the 'arrows=F' command is used, as shown in the following example: test = data.frame(expand.grid(c(1:10), c(1:10))) z = test[,1] + test[,2] test = cbind(test, z) names(test) =

I'm using randomForest in yaImpute to create a yai-type object which associates "L" with landscape features. Then I use the sp() package to impute L to a landscape consisting of four ascii files) I keep getting the message "NA's generated due to illegal level(s)" when I do the imputation. It's probably because one of the landscape features ("as", for

I wish to have inward-pointing ticks on my contourplot graph, but the colored background produced by the "region=TRUE" statement covers the ticks up, is there any way around this? Sample code below. --Seth library(lattice) model <- function(a,b,c,d,e, f, X1,X2) # provide model function for contour plot {J <- a + (b*X1) + (c*X2) + (d*X1*X2) + e*(X1^2) + f*(X2^2) pp