Your question is filled with uh, infelicities. See inline below.
On 02/07/16 07:53, Marietta Suarez wrote:
As of now, I simulate 6 variables and manipulate 2 of them. The way my
syntax is written my final database
Do you mean "data set"?
is in list mode. I need all of it to be
in just 1 database
Do you mean data frame?
any help would be MUCH appreciated. Here's my syntax:
fun=function(n, k,rep){
#prepare to store data
data=matrix(0,nrow=10*k, ncol=6)
db=vector("list",length=rep) #here's the problem
for (j in 1:rep){
for (i in 1:k){
#generate data under normal, skewed, and logistic distributions here
data[,1]<-seq(1,nrow(data),1)
data[,2]<-rep(i,nrow(data))
data[,3]<-rep(n,nrow(data))
data[,4]<-rnorm(n, 100, 15)
data[,5]<-rsnorm(n, 100, 15, 1)
There is no such function as "rsnorm" in base R or in the standard
packages. Where does this function come from? Do not expect
your respondents to be psychic.
data[,6]<-rlogis(n, 100, 15)
}
db[[j]]<-data
}
DataReturn<<-db
Do *NOT* use "<<-"! Especially if you actually mean "<-"!!!
What is the point of "DataReturn" anyway? It's the same thing
as "db". Why confuse things by introducing a new name?
return(DataReturn)
#DataReturn <- data.frame(matrix(unlist(DataReturn), nrow=rep,
byrow=T)) #here's
where I tried to solve it unsuccessfully
}
In what sense is this unsuccessful? It returns a data frame. What is
wrong with this data frame? What did you *want* it to look like?
A *reproducible* "toy" example showing what you want to get would be
helpful.
A wild guess is that you want your reps "stacked" into a single data
frame. In which case something like
do.call(rbind,db)
may be what you want.
Finally, do you really want the result to be a data frame? Since all
values dealt with are numeric, you might as well use a matrix, and save
on the overheads that data frames involve.
cheers,
Rolf Turner
--
Technical Editor ANZJS
Department of Statistics
University of Auckland
Phone: +64-9-373-7599 ext. 88276
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