search for: 1.11e

Hello, I've a weired problem with a data frame. Basically it should be just one column with specific names coming from a data file (the file contains 2 rows, one should be the for the rownames of the data frame the other contains numeric values). > df.rr <- read.table("RR_anova.txt", header=T, comment.char="", row.names=1) > df.rr[c(1,2,3),] [1] 1.11e-16 1.11e-16

Can anyone help explain to me why the two codes below have different result? I thought I can use log(time)~. to replace log(time)~dist+climb+timef.I am using CVlm from DAAG package. I think nihills is preloaded with the package. Thanks in advance. > CVlm(df=nihills, form.lm=formula(log(time)~.),plotit="Observed",m=2)Analysis of Variance Table Response: log(time) Df Sum Sq

Dear R users, I noticed a problem in the anova command when applied on a single coxph object if there are missing observations in the data: This example code was run on R-2.6.1: > library(survival) > data(colon) > colondeath = colon[colon$etype==2, ] > m = coxph(Surv(time, status) ~ rx + sex + age + perfor, data=colondeath) > m Call: coxph(formula = Surv(time, status) ~ rx +

The "merge" command is creating duplicate column names in a dataframe that is the result of the merge. The following is the 'merge' command: x <- merge(invType , allocSlots , by.x = 'index' , by.y = 'indx' , all.x = TRUE ) The 'invType' dataframe was the result of a previous merge and has the following column names that are

Dear list members, I am trying to estimate parameters of the AR(1)-GARCH(1,1) model. I have one additional dummy variable for the AR(1) part. First I wanted to do it using garchFit function (everything would be then estimated in one step) however in the fGarch library I didn't find a way to include an additional variable. That would be the formula but, as said, I think it is impossible to add

Dear list, I made survival analysis using Weibull regression. I got significance in the analysis: >anova(m1) Df Deviance Resid. Df -2*LL P(>|Chi|) NULL NA NA 2158 4933.109 NA tratt -8 577.0669 2150 4356.042 1.988317e-119 and > summary(m1) Call: survreg(formula = Surv(tempo, sensore) ~ tratt) Value Std. Error z p

Hi all, Just wondering if anyone might know a way to stop R reading my survival history that has zeros at the beginning in as scientific notation. The data is being read in from a .txt file via read.table to be used with Rmark I have the same issues at the moment with reading in .csv and .xls files. The number was formatted as text in the .xls file otherwise excel puts it into scientific notation

I can't get confint.glm to work from within a function. Consider the following (using R 1.9.1, Windows 2000): # FIRST: SOMETHING THAT WORKS FROM A COMMAND PROMPT DF <- data.frame(y=.1, N=100) (fit <- glm(y~1, family=binomial, data=DF, weights=DF[,"N"])) Call: glm(formula = y ~ 1, family = binomial, data = DF, weights = DF[, "N"]) Coefficients:

----------------------------------------------------------------------------------------------------- Howdy, Gurus I am appying R package for regression analysis as followings. A dependent variable is jhnet that means ratio of dividing internal trip with all trips in a traffic zone. There are many indepentent variables including factor or dummy varibles such as parkfee, ohouse, Devt2, corridor1.

Hi, I am trying to install R-0.64.0 version on SGI machine running IRIX 6.5. Machine details: 319 <mind.krasnow.gmu.edu:R-0.63.3> uname -a IRIX64 mind 6.5 07271714 IP27 Configure script runs fine and the output at the end of configure is: R is now configured for mips-sgi-irix6.5 Source directory: /usr/local/R-0.64.0 Installation directory: /usr/local C compiler:

Hello, I am fitting a coxph model with factors. I am running into problems when using 'survfit'. I am unsure how R is treating the factors when I fit, say: > DATA<-data.frame(time.sec,done,f.pom=factor(f.pom),po,vo) > final<-coxph(Surv(time.sec,done)~f.pom*vo+po,data=DATA) > final.surv<-survfit((final), individual=T,conf.type="log-log")

R-wizards I have successfully run with S+ a statistical power calculation for non-normal distributions as presented in M. Crawley?s new book.? When I tried the newest version of R on the same code, the $ parse statement doesn't seem to retrieve the appropriate number from a table. Note that some of the cosmetic differences in the two tables have to be dealt with by the parser. Any ideas

Is there an easy way (or any way) to determine the size of all the objects in an R workspace. I know that "dim" will work on matrices, "length" will work on lists, but what gives the size of a function? After I have worked for a few days I often get confused about what is what in the workspace, so I'm looking for something like "ls -l", to point me toward

Hello list, I've seen the recent discussions documenting problems with lm. I have encountered the following problem. I use WinXP Pro with service pack 1, and R 1.9.0, on a XEON 2GHz, with 1GB of RAM. > eff.fro std.dev mean NSTRDSP 7.403749e-01 1.215686e-01 CPFGEP 9.056763e+00 1.815686e+00 WSWOLF 4.703588e+05 1.112832e+05 NPILGRIM 1.017640e+06 2.134335e+05

Hallo, I have this dataset with repeated measures. There are two within-subject factors, "formant" (2 levels: 1 and 2) and "f2 Ref" (25 levels: 670, 729, 788, 846, 905, 1080, 1100, 1120, 1140, 1170, 1480, 1470, 1450, 1440, 1430, 1890, 1840, 1790, 1740, 1690, 2290, 2210, 2120, 2040, 1950), and one between-subject factor, lang (2 levels:1 and 2). The response variable