search for: mmeans

Hi everyone, I have a question about functions. I have two functions: Sampling=function(fname,Total,nSample,nPatient){......return(list(Gmean,Gsd))} Power=function(alfa,m1,m2,s1,s2,n1,n2){....return(powe)} I want to use "Gmean" and "Gsd" which are the returned values from "Sampling" function, in "Power" function. i.e. when I call "power" I want

Is there a better or more efficent approach than this without the use of t() ? > (m <- matrix(1:40, ncol=4)) [,1] [,2] [,3] [,4] [1,] 1 11 21 31 [2,] 2 12 22 32 [3,] 3 13 23 33 [4,] 4 14 24 34 [5,] 5 15 25 35 [6,] 6 16 26 36 [7,] 7 17 27 37 [8,] 8 18 28 38 [9,] 9 19 29 39[10,] 10 20 30 40 >

Hello I'm having trouble being able to plot more than one set of data using the plotmeans function. Plotmeans is where you can plot means and standard errors easily. Here is part of my code plotmeans(Mmeans ~ Month, data=BW.hydat.05HG001, n.label=FALSE)#one set of data par(new=TRUE) plotmeans(Mmeans ~ Month, data=Mouth.hydat.05HH001, col="red")#the second set of data Basically I want to show more than one set of data on the same graph, same axis etc.. The par() function in this code doesn...

Hello, I have many subsets of x. I want to get the standard deviation for each subset with the same factor levels. For "FUN=mean" and "FUN=median" I am using "ave()". Can anybody tell me the match of "ave()" for using "FUN=SD"? At the beginning I used aggregate(), also for mean and median. But aggregegate make ""arithmetical

...ing some work about species richness estimation. Nonparametric estimation (such as Chao1, Jacknife1) can be done just using function "specpool()" and "estimateR()" in package "vegan". The problem is that I can not found any functions for parametric estimation (such as MMMeans, MMruns, Michaelis-Menten). Do you know any function for doing this? Thanks a lot. Best wishes, Wenjing

Hello all, I am a 2 month newbie to R and am stumped. I have a data set that I've run multivariate stats on using the manova function (I included the data set). Now it comes time for a table of effect sizes with significance. The univariate tests are easy. Where I run into trouble filling in the table of effect sizes is the Mahalanobis D as an effect size. I've included the table so