search for: deta

...eated an array to hold the results of a series of simulations I'm running: d.eta <- array(0,dim=c(3,3,200)) <simulation goes here and populates the array but it's not important> Then I tried to save the results using this: save(d.eta,file="D:/Simulation Results/sim 9-23-11 deta") When I later tried to reload them using this: d.eta <- load(file="D:/Simulation Results/sim 9-23-11 deta") I got the following: > class(d.eta) [1] "character" > d.eta [1] "d.eta" Why didn't it load the original object that I tried to save (the...

...such as "oh" or "baby" (a particular issue here is that the argument "like" might actually be intended to mean likelihood). Similarly, for se_KC_SE.UTF8 (KC for "kitchen") we have alternate spellings of arguments like "data": t.test(ixtra ~ gruoop, deta = sleep) Velch Tvu Semple-a t-test deta: ixtra by gruoop t = -1.8608, dff = 17.776, p-felooe-a = 0.0794 elterneteefe-a hypuzeesees: trooe-a deefffference-a in meuns is nut iqooel tu 0 95 percent cunffeedence-a interfel: -3.3654832 0.2054832 semple-a isteemetes: meun in gruoop 1 meun in...

...vary),2,2) A<-solve(covXY) #up<-max(meanx+4*varx^.5,meanx-4*varx^.5,meany+4*vary^.5,meany-4*vary^.5) #x <- seq(-up,up,length=50) #y <- x x <- seq(meanx-3*varx^.5,meanx+3*varx^.5,length=50) y <- seq(meany-3*vary^.5,meany+3*vary^.5,length=50) f <- function(x,y,...) { detA<-det(A) quadForm<-A[1,1]*(x-meanx)^2+2*A[1,2]*(x-meanx)*(y-meany)+A[2,2]*(y-meany)^2 K<-sqrt(detA)/(2*pi) exp(-0.5*quadForm)*K } z <- outer(x, y, f) par(mfrow=c(1,2)) persp(x, y, z,theta = 30, phi = 30,col="white",main="BI-VARIATE NORMAL DISTRIBUTION") c...

Is there an efficient way to use rbind() with the five dataframes described in the following example: a <- c(1:5) list.foo <- lapply(a, function(x) data.frame(beta=a*rnorm(10), deta=a*rnorm(10))) big.data.frame <- rbind(list.foo[[1]], list.foo[[2]], list.foo[[3]], list.foo[[4]], list.foo[[5]]) #is there an easier method? For example, I naively thought you could do something like rbind(list.foo[[1:5]]) #gives an error message but that results in an error message. Thanks,...

...e(FUN)), c("A", "B", "C"), sep="") } df } ### Test cases #### > foo1 <- makefoo(1, 4) > as.data.frame(foo1) A B C 1 38 86 49 2 67 65 2 3 41 46 82 4 59 8 78 > > foo2 <- makefoo(2, 4) > as.data.frame(foo2) detA detB detC 1 -342 -5076 -2621 2 -4712 1568 -1724 3 -4491 -1892 -2768 4 2990 -5448 2974 > as.data.frame(foo2, FUN=tr) trA trB trC 1 118 65 80 2 62 85 99 3 108 86 98 4 110 23 129 > -- Michael Friendly Email: friendly AT yorku DOT ca Professor, Psychology Dept. York Un...

...checking package dependencies ... OK * checking if this is a source package ... OK * checking for .dll and .exe files ... OK * checking whether package 'fda' can be installed ... ERROR Installation failed. See 'D:/spencerg/statmtds/splines/fda/tmp/fda/fda.Rcheck/00install.out' for deta ils. #################################### "00install.out" is as follows: #################################### installing R.css in D:/spencerg/statmtds/splines/fda/tmp/fda/fda.Rcheck ---------- Making package fda ------------ adding build stamp to DESCRIPTION installi...

Hi Now a more theoretical question. I have two correlation matrices - one of a set of variables under a particular condition, the other of the same set of variables under a different condition. Is there a statistical test I can use to see if these correlation matrices are "different"? Thanks Mick

Hi to every body. I would like assistance on how to implement the log-log link function for binary response. Is there any package that implements it? Many thanks Endy [[alternative HTML version deleted]]

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