similar to: Filling graphic objects

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 -

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,

M. Camanm posted in Jul 1999 the following message: " Is there any way to fill the bars in a barplot() with solid lines for postscript output, i.e. cross hatch or parallel lines, or a halftone gray rather than (semi) continuous-tone gray produced by gray()? S allows this, or at least used to, via the angle and density arguments to barplot(). The objective of course, is to produce camera

#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 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, 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

Hello dear members of R-help and R-core mailing list, I am not sure if this request is a "ticket" that should be filled somewhere outside the mailing list. If so, I apologize for not doing and would like to know where I should have filled it. And to the subject matter: I would like to use a command like this: plot(c(1,8), 1:2, type="n") polygon(1:7, c(2,1,2,NA,2,1,2),

Hello dear members of R-help and R-core mailing list, I am not sure if this request is a "ticket" that should be filled somewhere outside the mailing list. If so, I apologize for not doing and would like to know where I should have filled it. And to the subject matter: I would like to use a command like this: plot(c(1,8), 1:2, type="n") polygon(1:7, c(2,1,2,NA,2,1,2),

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, 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

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

Dear all, I'm struggling with a plot and would value any help! I'm attempting to highlight a histogram and density plot to show a proportion of cases above a threshold value. I wanted to cross-hatch the area below the density curve. The breaks and bandwidth are deliberate integer values because of the type of data I'm looking at. I've managed to do this, but I don't think it

Sorry that I was unclear. For an individual to qualify for my analysis I want both of the following two criteria to be fulfilled: First, I want to select measurement taken at a certain age: for the focal individual the year of measurement (year) should be the same as year.hatch Second, I want the focal individual to be born by a mother that reproduces for the first time. So the /parents /of

Dear all, I have received some data on birds that looks sth like this: # a unique id for each individual id <- c(1,1,1,2,2,2,3,3,3,4,4,5,6) # the year the bird was measured year <- c(1995, 1996, 1997, 1995, 1996, 1997, 1996, 1997, 1998, 1996, 1997, 1997, 1998) # the year the bird was hatched year.hatch <- c(1995, 1995, 1995, 1995, 1995, 1995, 1996, 1996, 1996, 1996, 1996, 1997, 1998)

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", ...

Hey, I am trying to create barplot of abundances over time (in days). The period is over 171 days, so I don't want to have all labels there but only the first day of the month. I couldn't find anything like this on the forum yet. Mostrly it's about year to year data. This is the relevant part of my table: datum month abundance 26/03/11 March 1 27/03/11 March 0 28/03/11 March 1

Has anybody written an actuarial (life) survival procedure, this does not appear to be an option in the survival package? This approach is common in orthopaedic surgery to demonstrate the survival of prostheses. I need to apply the "modified" lower conf.int because of the censoring over time. I want a life table which I can then easily plot. Many thanks

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

In the following code the arrow symbols do not rotate with the text on the Mac OS window, however the do rotate on X11 port on Mac OS. (R version 1.71) x <- c(0,10.) y <- c(0,10.) offset <- 3 centre <- 5 plot(x,y, xlim=range(x), ylim=range(y),type="n", xlab="",ylab="", main="",xaxt="n",yaxt="n") for (i in (seq(0, 340,