similar to: how to use "replace" for efficiency

Hi, Based on par function, I can split the screen into two parts left and right. I wish x occupies the half left screen, and all plants occupy half right screen, which happens right now. But I wish the right screen, to be split in 3 or more vertical parts where each pair of the same type of plant, are together in its own block of boxplot, because each plant has its own unit of measure.

Hi, For my master thesis I have 24 micro-plots on which I did measurements during 3 months. The measurements were: - Rainfall and runoff events throughout 3monts (runoff being dependant on the rainfall, a coefficient (%) has been made per rainfall event and per 3 months) - Soil texture (3 different textures were differentiated) - Slope (3 classes of slopes) - Stoniness (one time measurement)

Is there any way to use more than one color or shape in the same plot. I would like to make the points different colors for various levels of a variable. I have tried a simple 'if' statement in the plot command, but I get an error message. Here is what I have tried and the error message I get: > plot(test, if(test[,1]<8) col="steelblue2" else col="wheat2")Error

Hello everyone I have a dataframe with 4 colums (year, month, day, runoff) for 1993-2009. Now I like to calculate the average runoff for each day. Finally I like to plot the median runoff for all this years. I tried with some loops, but it didn't work. Do you have any Tips for my problem? Any help is greatly appreciated! Thank you very much. Dominique -- View this message in context:

Dear R-help, The following nlme example, from help(Variogram.gls), does not work on my system. > data(BodyWeight) > fm1 <- gls(weight ~ Time * Diet, BodyWeight) > Variogram(fm1, form = ~ Time | Rat)[1:10,] Error in FUN(X[[1]], ...) : unused argument(s) (method ...) It looks like I might not have loaded a necessary package. I did load nls and lattice (the latter not actually being

Dear R-Help, I have a generated file that looks like the following: ----- Begin file ----- # # Output File # float Version 2002.700000000000 int Numdays 31 int NumOFEs 1 # # Hillslope-specific variables # char HillVarNames[ 3 ] {Days In Simulation} {Hillslope: Precipitation (mm)}

I am using R in my undergraduate engineering statistics courses, in which I am currently discussing one-way analysis of variance. Many of the data sets for the exercises or examples give the data in the form on one column per treatment level. To use the aov or lm functions such data should be converted to one column with all the response observations and a companion column with indicators of the

Dear R Users, I have a data frame of the nature: > head(aggregate_1986) Latitude Mean Annual Simulated Runoff per 1? Latitudinal Band 1 -55 574.09287 2 -54 247.23078 3 -53 103.40756 4 -52 86.99991 5

Hello, I have a question regarding a way to control the appreance of output exported by R when I use capture.output( x, file = "Directory/file.txt") , I get a text file which when I paste to a word file looks like the first table below. The following table has its clumns spaced closely so when I paste it to a word file it looks continuous. Is there any option in R to make the outputs

Hi, I'm attempting to add a "Julian Day" column to a data frame. Here is my code and the resulting data frame: vic.data <- read.table("C:/VIC/data/vic.data.csv", header=F) names(vic.data) <- c("year", "month", "day", "precip", "evap", "runoff", "baseflow", "Tsup",

Hi @all, I am biting my nails with the following problem: I have a data set of daily rainfall measurements for the last 20 years. What I want to do is calculate the daily cumulative sum of rainfall but only for every year which means that the cumulative sum has to be reset each year. After the calculations I want to plot each year of cumulative rainfall as a separate line in one graph preferably

I've been trying to split a space delimited string with double-quotes in R for some time but without success. An example of a string is as follows: /rainfall snowfall "Channel storage" "Rivulet storage"/ It's important for us because these are column headings that must match the subsequent data. Here is some code I've been trying: str <- 'rainfall

Dear All, I am a research student in environment. I have only little programming knowledge. I am currently doing the last project about rainfall impact on ground water quality in an area. It happens that I have to use R to read rainfall data (3 dimension) from ASC file (*.asc), and then write them into one NCDF file (*.nc). I have been working very hard on study R, but I

I am trying to model the observed leaching of wood preservative chemicals from treated wood during an outdoor experiment where leaching is caused by rainfall events. For each rainfall event, the amount of rainfall was recorded as well as the amount of preservative chemical leached. A number of climatic variables were measured, but the most important is the amount of rainfall. I have tried a

Dear R Users, I'm finding that when I execute the following bit of code, that the new line argument is actually displayed as text in the graphics device. How do I avoid this happening? mtext(side=2, line=5.5, expression(paste("Monthly Summed Runoff (mm/month)", "/n", "and Summed Monthly Precipitation (mm x ",10^2,"/month)"))) I suspect that I've

Dear R community, I'm hoping someone out there has perhaps done this and can share their code and/or expertise with me. I need to pull recession periods out of a hydrograph - can anyone help me with this? I want to create a subset from streamflow data that consists of just the recession curves - the decreasing runoff after the passage of a peak flow. would really appreciate any help on

I have a matrix with 12 rows (one for each month), 2 columns (baseflow, runoff). I would like to make a barplot similar to Excel’s “clustered column chart”. Here is my matrix ‘x’ 8.258754 13.300710 10.180953 10.760465 11.012184 13.954887 10.910870 13.839839 9.023519 11.511129 7.189241 12.519830 5.925576 17.101491 5.211613 13.585175

Dear List Members, I need some help about programming in S language. My problem is as follows: I have meteorological data (about rainfall measurement each day from 1989-2002), say like http://www.angelfire.com/ab5/get5/data.rainfall.txt or http://www.angelfire.com/ab5/get5/R.rainfall.txt in a sequence of 0(denoting dry day)'s and 1(denoting wet day)'s. I want to construct a frequency

Fwiw the engine behind geom_raster needs explicit observation-per-row form for input (with no structural normalization), so conversion to points is perfectly proper here, albeit confusing in context. (It's closer to what graphics devices actually use ultimately, but the expansion is laid out very early in ggplot2 because there's no standard for intermediate forms.) Cheers, Mike On Wed,

I have a time series of rainfall in a dataframe. I would like to be able to aggregate this using a sliding window approach- i.e. a new 24 hourly total is calculated for each hours rainfall. I'm struggling to understand how this might be achieved - currently I've tried looping a sum function to re-calculate a new total at every stage of the loop. for (inp[[9]] in