search for: loam

Hi, My data.frame "A" has FID like this FID a a b b b c c d d d d Now my second data.frame "B" has age value for a, b, c, d like FID Age a      5 b      7 c      9 d      3 How can search for the Age column in "B" and replace the values in "A" so that my new "A" looks like this FID Age a      5 a      5 b      7 b      7 b      7

Dear R users, has anybody made an attempt to create the soil texture triangle graph in R? For an example see here: http://www.teachingkate.org/images/soiltria.gif I would like to get the lines in black and texture labels in gray to allow for plotting my texture results on top. Any examples or suggestions are very welcome! Thanks in advance, Sander. --

...n below. Any ideas of how to solve this would be very welcome! Thanks in advance, Joep van der Zanden MSc student Hydrology and Water Quality Wageningen University, The Netherlands / University of Sydney, Australia # variable to plot: groundwater heads for 2 situations (L Med Clay Grass; S Clay Loam Trees): z2 and z1 # x: range of distances to river # y: range of lambda values ## define input data x <- vector(mode="numeric", length=64) for(i in 1:8){x[((i-1)*8+1):(i*8)]<- c(0,25,65,140,240,390,590,840)} y <- vector(mode="numeric", length=64) for(i in 1:8){y[((i-1)...

...s is going on and why to the the values change so much? I was also wondering in Adonis, can you nest treatments, so see effect of soil removing the effect of woodland as you can with anova? Another general questions as well, if I have more than two groups in a treatment, say for soil, clay, sand, loam and do the stats, and I get a significant value, what does it actually mean, is it that soil generally has an effect, with each group separate, or there are general differences between soils which may be one group is very different to the other two? Many many thanks to anyone who can help me as I...

...One will notice I have plotted the points based on whether or not they are in a region called 'upstream' or 'downstream'. I'm curious if there is a way to somehow extract counts of the number of points (red points and blue points) falling within each classification (e.g. silty loam, sandy clay, etc.)? Eric soil.dat<-read.table(textConnection("Field_Num Region Region_Num Region_Sym Region_Col Date Location Location_Num sand silt clay 1 US 1 1 4 6/3/1999 Surface 1 26.25 52.5 21.25 1 US 1 1 4 8/8/2000 Surface 1 27.5 52.5 20 1 US 1 1 4 8/8/2000 One_Foot 2 27.5 50 22.5 1...