similar to: multiple plots in R

Hi there, I need to save a series of lattice plots as a PDF, this is my code so far: windows(height=8,width=6) plot.new() library('grid') lattice.options(layout.heights=list(top.padding=list(x=0.15, units="inches"))) print(plot1, split=c(1,1,2,3), more=TRUE) print(plot2, split=c(1,2,2,3), more=TRUE) print(plot3, split=c(1,3,2,3), more=TRUE) print(plot4, split=c(2,1,2,3),

Hi Deepayan and everyone, I need to add a common legend to a group of latice graphs, I have tried different ways using viewport and grid.draw without success. Here is what I have: plot.new() library(grid) library('IDPmisc') print(plot1, split=c(1,1,2,4), more=TRUE) print(plot4, split=c(2,1,2,4), more=TRUE) print(plot2, split=c(1,2,2,4), more=TRUE) print(plot5, split=c(2,2,2,4),

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 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

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

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

Hello, I am trying to help a colleague with an R problem (see below) to whit I can only generate a very inelegant solution. Any advice would be welcome. Thanks, Brian If you have two matrices, say a species by trait matrix (Matrix 1 below) and a plot by species matrix (Matrix 2 below), is there a straightforward way to prune one matrix so that the species list matches those in a

Dear all, For two sets of random variables, say, x <- rnorm(1000, 10, 10) and y <- rnorm(1000. 3, 20). Is there any way to overlay the histograms (and density curves) of x and y on the plot of y vs. x? The histogram of x is on the x axis and that of y is on the y axis. The density curve here is to approximate the shape of the distribution and does not have to have area 1. Thank you

Hi, I recently created a function which uses grid with a viewport constructed with grid.layout() to position four plots on a plot device. My question is what's the best way to programatically traverse each element of the viewport? The grid is 5x5 and the four plots occupy positions (2,2), (4,2), (2,4), and (4,4). Here's the viewport code: pushViewport( viewport(

Hello, I created several plot with ggplot2 dev mode. Now I want to combine the plots in a grid e.g. 2x2 with a fixed size of the output. What I am doing at the moment is: grid.newpage() pushViewport(viewport(layout = grid.layout(nrow=2, ncol=2, widths = unit(c(7.5,6.5), "cm"), heights = unit(rep(5, 2), "cm")))) print(plot1, vp = viewport(layout.pos.row = 1,

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

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

Dear r-helpers, Does anyone have a straightforward example of putting together three unrelated (expect for a common y-axis) xyplot() figures in what would be in base graphics a par(mfrow = c(1, 3)) arrangement? _____________________________ Professor Michael Kubovy University of Virginia Department of Psychology USPS: P.O.Box 400400 Charlottesville, VA 22904-4400 Parcels: Room 102

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>>=

Hi, everyone: I forget on how to save a result from R as a word document. For example, if I run the linear regression and want to save the result: summary(lm(y~x) in a word file. So I can show it later to my clients. Any idea on how to do this? Thanks a lot, Suyan

Hi Everyone: I need some help on combining two datasets into one. Since for those two datasets, there are different variables. Like In dataset 1, I have pt x1 x2 1 12 24 2 20 17 In dataset 2, I have pt x2 x3 3 19 33 4 20 16 The final dataset I want should look as pt x1 x2 x3 1 12 24 NA 2 20 17 NA 3 NA 19 33 4 NA 20 16 I used setdiff and rbind together and got what I

I am trying to combine two arrays with different dimensions into one. For example The first one is 1 2 3 4 5 6 The second one is 7 8 9 10 The resulted one would be like , , 1 1 2 3 4 5 6 , , 2 7 8 9 10 I used abind to do this, but failed. Could somebody please let me know how to do this in R? Thanks so many. Suyan

Is there any implementation in R for finding the phase shift between two continuous signals. I would like to find the average phase shift for tow signals over two years. thanks Stephen -- Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted

Hi, I have created a barplot using the following code. a<-c(11,23,15,34,42,31) m<-matrix(a,nrow=2) m[2,]<-(-1)*m[2,] par(mar=c(4,4,4,0)) barplot(m[2,],horiz=T) par(mar=c(4,0,4,2)) barplot(m[1,],horiz=T,col="black") and the plot obtained is shown in "plot1.tiff". I was not willing to see the gap (vertical space) between two graphs. How can I achieve it? Further