similar to: summing and combining rows

I'm having a hard time figuring out how to group results by certain factors in R. I have data with the following headings: [1] "Time" "Plot" "LatCat" "Elevation" "ElevCat" "Aspect" "AspCat" "Slope" [9] "SlopeCat" "Species" "SizeClass" "Stems" and

I'm trying to use tapply to output means and SD or SE for my data but seem to be limited by how many times I can subset it. Here's a snippet of my data > stems353[1:10,] Time DataSource Plot Elevation Aspect Slope Type Species SizeClass Stems 1 Modern Cameron 70F221 1730 ESE 20 Conifer ABCO Class1 3 2 Modern Cameron 70F221 1730

I keep expecting R to have something analogous to the =count function in Excel, but I can't find anything. I simply want to count the data for a given category. I've been using the ddply() function in the plyr package to summarize means and st dev of my data, with this code: ddply(NZ_Conifers,.(ElevCat, DataSource, SizeClass), summarise, avgDensity=mean(Density),

All - I have a large data frame that looks like ID p1 p2 p3...p20 Lat1 Lat2 Lat3...Lat20 Long1 Long2 Long3...Long20 1 0 0 1 0 NA NA 29.xx NA NA NA -89.xx NA 2 1 0 0 1 27.xx NA NA 29.00 -88.00 NA NA -89.xx 3 0 0 0 0 NA

Hi, I want to analyse a contigency table (3 x 12) with a fisher.test beacause there are cells that are less than 5. ?mmen Anken Baf Belchen H?chi Hof Porti R?m Schmutz Sch?n Sissa Tann class14 7 26 150 2 46 68 126 66 3 31 7 61 class24 7 6 55 5 49 71 93 90 1 18 16 79 class34 1 1 4 3 19 8 29 61

Hi Helpers: I have a factor object that has 314k entries of 39 land cover types. (This object can be coerced to characters neatly should that be easier to work with.) > length(foo) [1] 314482 > foo[1:10] [1] Montane Chaparral Barren Red Fir Red Fir [5] Red Fir Red Fir Red Fir Red Fir [9] Red Fir Red Fir 39 Levels:

I have data that looks like this: > df1 group id 1 red A 2 red B 3 red C 4 blue D 5 blue E 6 blue F I want a list of the groups containing vectors with the ids. I am avoiding subset(), as it is only recommended for interactive use. Here's what I have so far: df1 <- data.frame(group=c("red", "red", "red", "blue",

Hello R-help. I believe I may be coding the offset incorrectly in my formula. I am testing significance between different group pairings using the VGAM package. My data are zero-truncated and poisson-distributed and overdispersed, so I'm using the posnegbinomial function in vglm (code below). I've spent a very long time working out this model and am pretty sure it's the best for

Hello, I'm having trouble figuring out how to see resulting groups (clusters) from my hclust() output. I have a very large matrix of 4371 plots and 29 species, so simply looking at the graph is impossible. There must be a way to 'print' the results to a table that shows which plots were in what group, correct? I've attached the matrix I'm working with (the whole thing

I'm trying to update a package and would like to crush a WARNING message for a clean build. I've been struggling with this question and haven't gotten any traction on the web either. I've got a document file (Rd) that contains the following \usage statement: \name{sample.data} \alias{sample.data} \title{CONIFERS forest growth model sample data} \description{ A list object of

Hello, I'm looking for what I'm sure is a quick answer. I'm working with a data set that looks like this: Week Game.ID VTm VPts HTm HPts Differential HomeWin 1 1 NFL_20050908_OAK at NE OAK 20 NE 30 10 FALSE 2 1 NFL_20050911_ARI at NYG ARI 19 NYG 42 23 FALSE 3 1

Dear All. I want to become a wholesale VoIP traffic Provider , and i don't have a experience about the software used this career . I ask about Freeside billing system , FreeRADIUS AAA server and Asterisk telephony server gave me all i need to start my business . thanks -- Best Regards Mohamed Daif -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hello, I am working with two different data frames, and I'd like to move data from one to the other. Here is the first frame: > head(five) Week Game.ID VTm VPts HTm HPts HDifferential VDifferential 1 1 NFL_20050908_OAK at NE OAK 20 NE 30 10 -10 2 1 NFL_20050911_ARI at NYG ARI 19 NYG 42 23 -23 3 1 NFL_20050911_CHI

What will follow soon are updates to vtpmd, vtpm_manager, xm, xl, mini-os, and new vtpm and vtpm manager stub domains. The first patch I''d like to submit upgrades vtpmd to version 0.7.4 This patch does the following: -add checks to configure to check for cmake (required by berlios 0.7.4) -removes all of the 0.5.1 patches -adds a single patch for 0.7.4 -cleans up the makefile, should

Hello list. I'm trying to rebuild the 2.6.9.67.0.20.EL kernel, but it fails even without modifications. How did I try it? Created a (non-root) build environment (not a mock ) Installed the kernel.scr.rpm and did a rpmbuild -ba --target=`uname -m` kernel-2.6.spec 2> prep-err.log | tee prep-out.log The build failed at the end: Processing files: kernel-xenU-devel-2.6.9-67.0.20.EL Checking