similar to: plot focus

I want to use the aggregate function to summarize data by a factor (my field plots), but I want the summary to be the majority level of another factor. For example, given the dataframe: Plot1 big Plot1 big Plot1 small Plot2 big Plot2 small Plot2 small Plot3 small Plot3 small Plot3 small My desired result would be: Plot1 big Plot2 small Plot3 small I

Hi, this is not a new doubt, but is a doubt that I cant find a good response. Look this output: > m.lme <- lme(Yvar~Xvar,random=~1|Plot1/Plot2/Plot3) > anova(m.lme) numDF denDF F-value p-value (Intercept) 1 860 210.2457 <.0001 Xvar 1 2 1.2352 0.3821 > summary(m.lme) Linear mixed-effects model fit by REML Data: NULL AIC BIC

Hello. Does anyone know of an existing function that takes a list in the form of: Plot1 Species1 Abundance1 Plot1 Species2 Abundance2 Plot2 Species1 Abundance1 Plot2 Species3 Abundance3 . . . PlotN SpeciesN AbundanceN and translates into a matrix in the form of Species1 Species2.... SpeciesN Plot1 Abundance1 Abundance2... AbundanceN Plot2 Abundance1

Hi, a colleague of mine encountered some unexpected behavior regarding the postscript output from R. It's difficult for me to tell whether or not this is an R problem or a ghostview/gv/interpreter problem. Just to note, I think it's exactly the same situation reported here: http://finzi.psych.upenn.edu/R/Rhelp02/archive/25436.html The following code produces a working plot (no

Hi, I just try to draw multiple plots in one page using R, I used par command. For example I have 7 plots, but instead of arranging them in the default way plot1 plot2 plot3 plot4 plot5 plot6 plot7 I want them in this order plot1 plot2 plot3 plot4 plot5 plot6 plot7 Could somebody tell me how to do this, please? Thanks so many. Suyan

I have two dataframes (df) that share a column header ("plot.id"). In the 1st df, "plot.id" records are repeated a variable number of times based on the number of trees monitored within each plot. The 2nd df only has a single record for each "plot.id", and contains a variable named "load" that is collected at the plot-level and is only listed once per plot

Hi R people! I am looking for some suggestions writing an if-else function. The idea is to characterize different plots containing counts of variables (here parasites). If a plot has a count equal or higher than 4 for any parasite the function should return a 1 else a 0. Later I can loop the function over all plots. Here I have a little subset of my data: VariablePAR Plot1

I have 2 data frames (A & B) with some common column names. A has 10 rows. B has 20 rows. How do I combine them so I end up with a data frame with 30 rows that only contains the common columns. I was trying 'merge' (Merge two data frames by common columns .....etc. ) but that is not giving me what I expect... > a <- iris > b <- iris > > c <-merge(a,b) >

Dear all, I wish to generate a lattice boxplot which skips an empty cell in a design. I have trawled r-help, scruitinized xyplot(lattice) help page, and merrily reproduced examples of using skip from a couple of previous r-help queries and the example given in Pinheiro & Bates. But I must be missing something... Here's an example (running R 1.9.1 on Win2k): # generate some data df1

Hi everyone! This must be a common question but I have not found an answer to it in the archives yet. I am producing four plots with par(mfrow=c(2,2)). The x-axis is the same for all of them but the y-axis is different. What I would like to do is to have a different range of the y-axis and different intervals between tick marks. BUT I would like to have the same number of tick marks and I would

Dear List, I'm stuck on what seems like a simple indexing problem, I'd be very grateful to anyone willing to help me out. I queried a dataframe which returns a character vector called "plot". I have another dataframe from which I want to subset or select only those rows that match "plot". I've tried subset, and also the "which" command. plot

Hi all, I have installed in R 2.6 the survival package and I am trying to analyze some data and present plots. The problem occurs when I try to plot lines on the same plot. E.g. take simulated data for time (t), event (e) and groups (group1 and group2) and do: ### this is how I create the plots plot1<-survfit(Surv(t,e)~ as.factor(group1)) plot2<-survfit(Surv(t,e)~ as.factor(group2))

Hi R user,I am struggling to figure out on how I can calculate the average from the two tables in R. Any one can help me? really your help would be grateful- I am spending so much time to figure it out. It should not be so hard, I think. I have very big data but I have created a hypothetical data for simplification. for example I have : table 1 table 1: species occurance data

Dear All (probably Hadley), I am now trying to customise some plots using a bar geom. I do not want to use the default binning statistic, but rather calculate the bar heigths separately. I do manage this, but for comparison purposes I would like to have a set of plots all with the same y-axis height. But I do not seem to find out how to fix the scale of the y-axis in this case. Any tips?

This may be asking too much, but I'm wondering if anyone has a solution (even a hack) for creating multiple (overlay) plots in an Sweave file and post-processing the overlays in beamer appropriately. For example, suppose I have a series of figure blocks in my .Rnw file: <<plot1,fig=TRUE>>= [stuff] @ <<plot2,fig=TRUE>>= [stuff] @ <<plot3,fig=TRUE>>=

Dear R users, I have a data frame (test) including five columns of upper (numeric), lower (numeric), observed (numeric), best_sim (numeric) and stname (factor with 80 levels, each level with different length). Now I would like to write a short program to draw one graph as follow for each level of stname but I would like also to draw each time 12 graphs for the 12 levels of stname in the same

Hi, par(mfrow = c(2,2)) will create a 2x2 window that I can use to plot 4 diferent figures in: [plot1 plot2] [plot3 plot4] But how can do 3 so that the bottom spans the width of the upper two: [plot1 plot1] [p l o t 3] Is this possible in R? -- View this message in context: http://r.789695.n4.nabble.com/multiple-plots-in-single-frame-2-upper-1-lower-tp3679574p3679574.html Sent from the R

I am trying to use the Lattice package to produce the same result as I can with the base graphics. With base graphics I can type: x <- 1:100 y <- x+rnorm(length(x)) g <- lm( y ~ x ) model.y <- g$coef[1]+g$coef[2]*x plot(x,y) # a plot of the data lines( x, model.y ) # a plot of the model, superimposed on the first plot With Lattice graphics I've got this far:

Folks, Please help with a graphics problem, I am running R2.4.0 on Windows XP. In much earlier version of R (1.3? about December 2001) I could par(mfrow=c(1,1)) plot(1,1,xlab="X",ylab="Y") plot1<-recordPlot() plot(2,2,xlab="X2",ylab="Y2") plot2<-recordPlot() par(mfrow=c(2,1)) plot1 plot2 and produce the same effect as the following

Hi, How do I access the index number of a field given I only know the field name? eg - I want to set the probability of the field 'species' higher than the other fields to use in sampling. > colprob <- array(dim=NCOL(iris)) > for(i in 1:NCOL(iris)){colprob[i]=0.5} > colprob[iris$species] = 1 #this doesn't work > colprob [1] 0.5 0.5 0.5 0.5 0.5 -- View this