similar to: difference of means as response?

Hello, I've hit an assertion in SelectionDAG where we try to merge 2 loads that have the same operands but their MMO flags differ. One is dereferenceable and one is not. I'm not sure what the underlying issue here is: 1) MDSDNode with the same operands should have the same flags set on their respective MMO. The fact the flags differ when the opcode,types,operands and address-space are

I have a data frame with two columns, one of which is a factor (Species) and the other is numeric (BA, which stands for basal area). Here's a sample: Species BA ACSA 55.7632696 FRAM 122.9933524 ACSA 67.54424205 ACSA 89.22123136 ACSA 82.46680716 ACSA 22.46238747 ACSA 19.94911335 ACSA 20.42035225 ACSA 19.00663555 ACSA 21.67698931 ACSA 57.80530483 ACSA 30.31636911 Dead 43.98229715 Dead

Dear R users, I am using lme and nlme to account for spatially correlated errors as random effects. My basic question is about being able to correct F, p, R2 and parameters of models that do not take into account the nature of such errors using gls, glm or nlm and replace them for new F, p, R2 and parameters using lme and nlme as random effects. I am studying distribution patterns of 50 tree

Hi I hope someone can shed some light on this: For some reason when I read.table("bfx.txt") R decides to only give back the first character from each column in each row as one single column. Like this: V1 1 ÿþr 2 \n 3 r 4 1 5 0 6 A 7 G 8 \n 9 r 10 1 11 0 12 T 13 C 14 \n The data should be:

I've been trying to figure out how to accomplish the following... I've got a list (returned from a function) and I would like to "cbind()" the lists together to create a "cross tab" report or simply bind them together somehow the function returns a list that looks like the following: > all$BM $species [1] "BM" $vbar.nobs [1] 3 $vbar.sum [1] 54.05435

Hi everyone, I have been working some days in a nested loop in R but I can't find the solution. I have a data.frame with an unique ID for individuals and unique ID for different stands, for each indiviadual I have a dbh record and a SBA (stand basal area) field. Pma<-rep (1:40) P<-seq(1,4, 1) Plot<-rep(P,10) dbh2<-rnorm(40, mean=200, sd=5) SBA2<-rnorm(40, mean=10, sd=1) As

Hey everyone, I am new to R, and I'm making a scatter plot graph where i have a bunch of plots/points that fall into 9 unique categories. I want each category to have a unique colour, however, with the coding I have (below), the colour black is repeated for two of my plot types. Does anyone know a quick way to get 9 unique colours?? Coding: plotba = plot (predictedba ~ actualba,

Hi R friends, I've been attempting to create plots with multiple alpha values using Cairo to save them on a windows (32b XP) platform as it doesn't support more than 3 alpha values. This worked well until I wanted a postscript file (unsupported) and as a attempted work around I installed RGtk2. So far so good, however now when I try to use a >CairoPDF("alpha.pdf", 6, 6,

First, apologies for no example data but I don't think it's needed in this case, Q: Can (and if so how ) the line end style be changed for 'cloud' plots? I've tried par(lend=2), trellis.par.set(add.line = list(lend=2)) and much googling but to no avail Thanks in advance Dan P.S. the reason for this is that the round end looks bad at lwd=3 or more Daniel Alcock Malaria

Dear R-users, I want to fit a linear model with Y as response variable and X a categorical variable (with 4 categories), with the aim of comparing the basal category of X (category=1) with category 4. Unfortunately, there is another categorical variable with 2 categories which interact with x and I have to include it, so my model is s "reg3: Y=x*x3". Using fit.contrast to make the

Dear List, I'm an [R] novice starting analysis of an ecological dataset containing the basal areas of different tree species in a number of research plots. Example data follow: > Trees<-data.frame(SppID=as.factor(c(rep('QUEELL',2), rep('QUEALB',3), 'CORAME', 'ACENEG', 'TILAME')), BA=c(907.9, 1104.4, 113.0, 143.1, 452.3, 638.7, 791.7, 804.3),

Dear All, I am Ricky Jacob, a project Student from India who is working on Forest Inventories. Input data: Plot(area = .1 ha) data having the following information: 1) Basal Area 2)Tree Density 3)Volume So I am applying this information to the corresponding pixels in the satellite imagery of the study area. I also have given the same values to a 3x3 window around that pixel. Inventory is taken

Hi, I am working on problem 2 of Chapter 8 in Data Analysis and Graphics Using R and don't know how to approach the second half of the question: In the data set (an artificial one of 3121 patients, that is similar to a subset of the data analyzed in Stiell et al., 2001) head.injury, obtain a logistic regression model relating clinically.important.brain.injury to other variables. Patients

Hello R Help! I would like to make a legible boxplot of tree growth rates for each of seven tree species at each of seven different sites. It's a lot of data to put on one figure, I know. I made a beautiful, interpretable figure using color, but my target journal can't deal with color figures. I can use seven shades of grey to fill the boxes, but the figure then becomes uninterpretable -

Original the array was attach to an HP server via a Smart Array Controller.(which I didn't setup, I just inherited the problem) This controller no longer recognizes the array even though the front panel of the array indicates its intact. I then took the array and plugged it into my Centos server and it recognized it ... cat /proc/scsi/scsi Attached devices: Host: scsi0 Channel: 00 Id: 00 Lun:

Dear R-users. I'm struggeling to fix the superscript of a label of a figure axis. For some reason R doesn't recognize the "hat" symbol. plot(1,1,xlab="ligth intensity (PAR)",ylab=expression("mass Pteridium rhizomes" (gr/0.25m^2))) A very similiar scriptline does not give any problem at all: plot(1,1,xlab=expression("balsa plot basal

Dear All, I am not able to run the random forest with my dataset.. X<- 280 records with satellite data(28 columns) - B1min, b1max, b1std etc.. y<- 280 records with 3 columns - TotBasal Area, Stem density and Volume yref <- y[1:230,] #Keeping 1st 230 records as reference records want to set 0 to y values for records 231 to 280.. yimp <- y[231:280,] #records for which we want

Hi I am conducting 2-sample Kolmogorov Smirnov tests for my Masters project to determine if two independant tree populations have the same size-class distribution or not. The trees have been placed into size-class categories based on their basal diameters. Once I started running the stats on my data, I got confused with the results. Just to show an example of what I was testing I ran stats

Dear All, here a problem I think many of you can solve in few minutes. I have a dataframe which contains values of plot id, diameters, heigths and basal area of trees, thus columns names are: id | dbh | h | g head(ipso, n=10) id dbh h g 1 FPE0164 36 13.62 0.10178760 2 FPE0164 31 12.70 0.07547676 21 FPE1127 57 18.85 0.25517586 13 FPE1127 39 15.54 0.11945906 12 FPE1127

Hi all, I am using the vegan package to run a prcincipal components analysis on forest structural variables (tree density, basal area, average height, regeneration density) in R. However, I could not find out how to extract factor loadings (correlations of each variable with each pca axis), as is straightforwar in princomp. Do anyone know how to do that? Moreover, do anyone knows