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I have a "list" of character vectors. I'm trying to see if there is a way (in a single line, without a loop) to pull out the first element of all the vectors contained in the list. listOfVectors[1:length(listOfVectors][1] doesn't work. ========================== If you want more details.. Here is my listOfVectors which is called "uuu" >

This probably has a super easy answer...but I claim newbie status! (I did search help lists but this question is hard to isolate keyword-wise) Basically, I'm trying to figure out how to parse the results from executing boot(). I'm mainly interested in assigning the standard error estimate to a scalar variable. For example: --------------------------------------------------------------

...uot;boot" function in R (I haven't gotten to that point yet). Any help is appreciated! Thanks! -Scott Scott Norton, Ph.D. Engineering Manager Nanoplex Technologies, Inc. 2375 Garcia Ave. Mountain View, CA 94043 www.nanoplextech.com <http://www.nanoplextech.com/> nortonsm@verizon.net [[alternative HTML version deleted]]

I'm trying to collapse the following table along the sub-group factor. In this case, collapsing means taking the average ages within a subgroup and creating a new table. I seem to be running into trouble trying to create this new data frame. I can use the ave() function to find averages within a subgroup but how do I maintain the Group/Gender factors after collapsing? (see bottom table) Can

I have a dataframe such that when I enter the dataframe name at the R prompt and see the data, the order of the data is correct (ie. what I want - ordered numerically by the factor, class). The table is akin to the following: df: (dataframe = df) uniqueID class age a 1 32 b 1 21 c 1 13 d 1 11 e 3 15 f 3 16 g 3 31 h 3 25 i 4 23 j 4 32 k 4 31 l 7 11 m 7 6 n

Within a function I'm assigning dynamic variable names and values to them using the "assign" function. I want to pass back the results but am uncertain how to do this. Basically, my function reads a number of data files and uses the filename of each file as the variable name for a list-to-become-dataframe. I want then to pass all these lists back, but again, the names of the

Hi, I have what I believe is a repeated-measures dataset that I'm trying to analyze using lme(). This is *not* homework, but an exercise in my trying to self-teach myself repeated-measure ANOVA for other *real* datasets that I have and that are extremely similar to the following design. I'm fairly sure the dataset described below would work with lme() -- but it'd be great if anybody

I'm pulling my hair (and there's not much left!) on this one. Basically I'm not getting the same result t when I "step" through the program and evaluate each element separately than when I use the outer() function in the FindLikelihood() function below. Here's the functions: Dk<- function(xk,A,B) { n0 *(A*exp(-0.5*(xk/w)^2) + B) } FindLikelihood <-