Displaying 11 results from an estimated 11 matches for "nam1".
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na01
2007 Jun 28
3
Function call within a function.
...data.frame(id, cata,catb)
# function to create list from data.frame
lstfun <- function(file, alpha , beta ) {
cda <- subset(file, file[,1] == alpha)
cdb <- subset (file, file[,1]== beta)
list1 <- list(cda,cdb)
}
# funtion to operate on list
ukn <- function(file, alpha, beta, nam1){
aa <- alpha
bb <- beta
myfile <- file
nts <- lstfun(myfile, aa, bb)
mysum <- nam1[,3]*5
return(mysum)
}
results <- ukn(dd1, "a", "b", nts$cda)
2009 Apr 28
8
duplicate 'row.names' are not allowed
Hi everyone,
I have got the following problem:
x1 <- rnorm(10,5,1)
x2 <- runif(10,0,1)
nam1 <- paste("A",1:4,sep=".")
nam2 <- paste("A",6:9,sep=".")
nam <- c(nam1,"A.4",nam2,"A.9")
mydata <- data.frame(x1,x2)
rownames(mydata) <- nam
Error in `row.names<-.data.frame`(`*tmp*`, value = c("A.1", "A.2&...
2006 Feb 26
1
assigning differences in a loop
Dear All
I would need to generate differences between variates such as
nam1<-nam2-nam3 in the following loop:
for(i in c("13","26","38")) {
for (j in c("HR","PQ","QRS","QT")){
nam1<-paste("d",j,i,sep="")
nam2<-paste(j,i,sep=".")
nam3<-p...
2010 Aug 04
6
applying strsplit to a whole column
I am sorry, I'd like to split my column ("names") such that all the
beginning of a string ("X..") is gone and only the rest of the text is
left.
x<-data.frame(names=c("X..aba","X..abb","X..abc","X..abd"))
x$names<-as.character(x$names)
(x)
str(x)
Can't figure out how to apply strsplit in this situation - without
using a
2017 Jun 04
2
Warning from reshape2 when melting a data frame with uneven number of columns.
Here is a small reproducible example:
data <-
structure(list(V1 = structure(1:3, .Label = c("Name1", "Name2",
"Name3"), class = "factor"), V2 = structure(c(1L, 3L, 2L), .Label =
c("nam1",
"name-1", "name_12"), class = "factor"), V3 = structure(1:3, .Label =
c("nam2",
"nam_34", "name-2"), class = "factor"), V4 = structure(c(2L,
3L, 1L), .Label = c("", "nam3", "nam_56"), class =...
2017 Jun 04
0
Warning from reshape2 when melting a data frame with uneven number of columns.
Is this the solution?
> d1<- as.data.frame(lapply(data,as.character),stringsAsFactors=FALSE)
> str(d1)
'data.frame': 3 obs. of 5 variables:
$ V1: chr "Name1" "Name2" "Name3"
$ V2: chr "nam1" "name_12" "name-1"
$ V3: chr "nam2" "nam_34" "name-2"
$ V4: chr "nam3" "nam_56" ""
$ V5: chr "" "name_78" ""
> melt(d1,id.vars="V1")
V1 variable value
1 Na...
2005 Oct 06
1
Compare two distance matrices
Hi all,
I am trying to compare two distance matrices with R. I would like to
create a XY plot of these matrices and do some linear regression on
it. But, I am a bit new to R, so i have a few questions (I searched in
the documentation with no success).
The first problem is loading a distance matrix into R. This matrix is
the output of a the Phylip program Protdist and lookes like this:
5
2012 Oct 29
2
naming datasubsets in a loop
Hello everbody,
I want to generate different subsets of my data-set and safe this
subsets with names listet in a vector. Because in reality I have got
about 70 subsets I want to realize this in a loop
Somehow like this:
names=c("nam1",
"nam2","nam3","nam4","nam5","nam6","nam7","nam8","nam9","nam10")
for (i in 1:10){
subset(originaldata, originaldata[ ,130]<=time[i]) #This subset should
get the name safed in "names"...
2017 Jun 04
0
Warning from reshape2 when melting a data frame with uneven number of columns.
...e warning means but I think your underlying problem is that all your variables are factors. Did you intend the values in each variable to be character?
data.frame':??? 3 obs. of? 5 variables:
?$ V1: Factor w/ 3 levels "Name1","Name2",..: 1 2 3
?$ V2: Factor w/ 3 levels "nam1","name-1",..: 1 3 2
?$ V3: Factor w/ 3 levels "nam2","nam_34",..: 1 2 3
?$ V4: Factor w/ 3 levels "","nam3","nam_56": 2 3 1
?$ V5: Factor w/ 2 levels "","name_78": 1 2 1
On Sunday, June 4, 2017 6:48 AM, Ash...
2012 Oct 22
6
How to use tapply with more than one variables grouped
I'm studying alone the R language for data preparation. I found a course at
MIT for data preparation that uses python but I'm using R to learning. The
first exercise is the preparation of data from a database that shows the
contributions made to candidates for U.S. president. The database is
described in FORMART
2012 Oct 10
7
multiple t-tests across similar variable names
Hi everyone-
I have a dataset with multiple "pre" and "post" variables I want to compare. The variables are named "apple_pre" or "pre_banana" with the corresponding post variables named "apple_post" or "post_banana". The variables are in no particular order.
apple_pre orange_pre orange_post pre_banana apple_post post_banana
person_1