similar to: hatch or line fill

Colors are real nice, but the publication I'm preparing these barplots for permits only black and white. The Splus plot options ``dbangle'' (or plain ``angle'') and ``density'' (as on p. 65 of MASS 1st ed.) don't seem to be available in R. Is there another way to do this? I'm running R 1.1.0 on Linux (intel). Thanks.

Hello, I would like to build rectangles in a plot and use color and different type of hatching for filling rectangles. I don't find the way to draw hatchings. I'm thinking to build segment by segment inside each rectangle but I'm sure that exists a better way to do that. I didn't find any documentation about that. > symbols(1,1,rectangles=cbind(1,1),bg="red", ...

#I am putting a test together for an introductory biology class and I would like to put different cross hatching inside of each bar for the bar plot below color <- c("Brightly Colored", "Dull", "Neither") lizards <- c(277, 70, 3) liz.col <- data.frame(color, lizards) qplot(color, lizards, data=liz.col, geom="bar", ylab="Observed Matings",

Dear all, I was wondering if anyone could help solve a problem of a missing interaction effect!! I carried out a 2 x 2 factorial experiment to see if eggs from 2 different locations (Origin = 1 or 2) had different hatching success under 2 different incubation schedules (Treat = 1 or 2). Six eggs were taken from 10 females (random = Female) at each location and split between the treatments,

Hello R Help! I would like to make a legible boxplot of tree growth rates for each of seven tree species at each of seven different sites. It's a lot of data to put on one figure, I know. I made a beautiful, interpretable figure using color, but my target journal can't deal with color figures. I can use seven shades of grey to fill the boxes, but the figure then becomes uninterpretable -

I have used polygon() to mark the confidence limits of a survival curve. In another project, I have used the col parameter to fill my boxplots. The poly() description refers to filling but actually produces hatching (i.e. lines ). boxplot() does truly fill the boxes with a colour or shades of grey (e.g. col="red"). My novices perception of R graphics is: If you can hatch it, you

Dear list, i'm a new R user, so I apologize if the topic is already being addressed by some other user. I'm trying to determine if the reproductive success of a species of bird is related to a list of covariates. These are the covariates: ? elev: elevation of nest (meters) ? seadist: distance from the sea (meters) ? meanterranova: records of temperature ? minpengS1: records

Dear R-experts, Quite new to R on this end, but learning fast (I hope). I am running version 2.7.1 on Windows Vista. I have small dataset which consists of: # NestID: nest indicator for each chicken. Siblings sharing the same nest have the same nest indicator. # Chick: chick indicator consisting of a unique ID for each single chick. # Year: 1, 2. # ClutchSize: 1-, 2- , 3-eggs. # HO:

Hello, I have a bar plot where I am already using colour to distinguish one set of samples from another. I would also like to highlight a few of these bars as ones that should be looked at in detail. I was thinking of using hatching, but I can't work out how or if you can have a background colour and hatching which is different between bars. Any suggestions on how I should do this? Thanks

Dear R users I am modifying a column chart which I have created in R using barplot to make it clearer. I have been able to change the settings to increase the width of the axes lines and the text size but I cannot find the code to change the width of the lines which create the bars/columns themselves. Can anyone point me in the right direction please? Many thanks Claire -- View this message in

Dear all, I would like to change the "fill" pattern of a histogram using histogram() in the lattice package. I know how to do so using hist(), but would prefer to stay within lattice. dt1 <- rnorm(100,0,1) hist(dt1, density=3, angle=45) library(lattice) histogram(dt1, xlab = "Histogram of rnorm(0,1)", type = "count",

There was an inquiry on this list recently about plotting some simple error bars on a graph. Now Splus has a function (error.bar --- originally written by Sue Clancy of DMS, CSIRO, I believe) to do this job virtually at the touch of a key. (Well a few keys. :-) ) The error.bar function is written completely in raw S --- no calls to ``.Internal'' or anything like that. So it would be

Hello, I'm having an error when trying to fit the next GLM: >>model<-glm(response ~ CLONE_M + CLONE_F + HATCHING +(CLONE_M*CLONE_F) + (CLONE_M*HATCHING) + (CLONE_F*HATCHING) + (CLONE_M*CLONE_F*HATCHING), family=quasipoisson) >> anova(model, test="Chi") >Error in if (dispersion == 1) Inf else object$df.residual : missing value where TRUE/FALSE needed If I fit

Hello, everyone. I'm hoping to prevent myself from doing a lot of pointing and clicking in Excel. I have a dataframe of bird nest check observations, in which I know the date of the first check, the date of the second check (both currently in Julian date format), the status of the nest at the second check (alive or failed), and the date that the nest hatched (i.e. changed from Incubation

Dear Listers, I am drawing a plot of two density curves, for male and female incomes. I would like to shade/hatch/color (whatever) the areas under the curves which are distinctive for each gender. This is the code I have tried so far: m <- density(topmal.d$y, bw = "sj") f <- density(topfem.d$y, bw = "sj") par(mfrow = c(1,1)) plot(x = c(0,400), y = c(0,0.02), type =

Hello there, I wanted to know if there is a way to change the log verbosity for a node. I wanted to be able to shutdown logs for most host but be able to re-enable them when i meet problems on one server. It seems to me that the log verbosity can only be changed on each type. This would lead to a rather complex setting of loglevel in EACH type followed by a variable defined in the node. I

R-community-- Is there a contributed package (or does anyone have code otherwise) for exact inference tests and resampling statistics ala' StatExact? I've perused the package descriptions on CRAN and didn't see anything, but since several contain many functions, I thought perhaps I'd ask. --Mike C. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Michael

scaling<-4 xywidth<-480 resolution<-150 png(filename = "c:/r/anschluss/plots/4.png", width = xywidth*scaling, height = xywidth*scaling,pointsize = 12, bg = "white", res = resolution*scaling) ...... barplot(xrow,col = barcolors,cex.axis=scaling, ylab="mean time till attachment in sec",cex.lab=1.2*scaling) I tried to scale the barplot but there is one

AARRGGHH! Sometimes it's the simple things that are particularly frustrating, especially late at night.... Can anyone suggest a simple means for replacing all of the zero values in a matrix with NANs? I ended up writing an awk script to massage the input file, which works, of course, but is rather an inelegant blunt instrument. I'd prefer an R operation. I'm certain that

I'm trying to convert some S-Plus code which generates barplots and other shaded area plots to R. If I specify that I want hatching using the angle and density arguments, the messages 1: argument `density' is not used (yet) in: .NotYetUsed("density", error = FALSE) 2: argument `angle' is not used (yet) in: .NotYetUsed("angle", error = FALSE) so apparently these