search for: sulfuric

Ben, I would like to test the sulfur on the clover field, nitrogen on the clover field and then test for the presence of interaction. Sorry about the last email, seems it really screwed itself over, here it is again, hopefully nicer: Nitrogen(0) Nitrogen(20) Sulfur(0) 4.54 5.73 Sulfur(3) 4.64

Hi, I am using the: pcf.aov<-aov(meas~op+part, data=pcf.ex2), command to perform a two way ANOVA. When I save the: sumpcf<- summary.aov(pcf.aov), result of the summary.aov command in a variable I need to access the individual pieces of information in the summary. The summary appears to be a list and I am having a hard time finding a way to get at the information in the summary.

Dear list, for a data structure like in df: set.seed(100) Treatment<-rep(c("Nitrogen","Carbon", "Sulfur"),each=9) week<-rep(c(1,5,9),3,each=3) genes<-rep(c("18s", "EF1b", "NR"),9) copies<-rnorm(27, 1000000,400000) df<-data.frame(Treatment,week,genes,copies) i wrote this code for a xyplot: library(lattice)

...or (e.g. 220 Ohm, 1W) in parallel to each battery, so that they at least get the same tension when being charged. One thing to keep in mind is that car batteries produce emit hydrogen gas, which may explode violently. That's dangerous enough by itself, but when a couple of batteries full with sulfuric acid explode together, that's real fun. Car batteries need fresh (circulating) air - and keep fire and sparks away. I agree with those who argue that car batteries are built for delivery of high currents during a short period of time, while they are not very good at delivering moderate current...

Dear Dennis, Your question assumes that people know both SAS PROC MIXED and R nlme. Only a limited number of people do. Add the mathematical formulation of the model. That will increase the number of people that can help you. Adding the number of levels in each categorical variable and the number of observation per group is useful too. Best regards, ir. Thierry Onkelinx Instituut voor natuur-

I am trying to reproduce some old SAS PROC MIXED code using R and nlme. The data consists of emission readings from vehicles and fuel properties. All variables are real numbers except "study" and "vehicle", which are character. Unfortunately, since the data are confidential, I'm unable to provide an example. The original SAS v6.12 code is provided below: