Hello All,
I have a data.frame with this structure:
m <- matrix(sample(c(rep('yes', 10, replace = TRUE), rep('no', 10,
replace = TRUE), NA), 500, replace = TRUE), nrow = 100, ncol = 5)
colnames(m) <- colnames(m, do.NULL = FALSE, prefix = "col")
m <- as.data.frame(m)
I need to generate a Venn dia
Dear List,
I am using function recode, from package car, within sapply, as follows:
L3 <- LETTERS[1:3]
(d <- data.frame(cbind(x = 1, y = 1:10), fac1 = sample(L3, 10,
replace=TRUE), fac2 = sample(L3, 10, replace=TRUE), fac3 = sample(L3,
10, replace=TRUE)))
str(d)
d[, c("fac1", "fac2")] <- sapply(
Hi all,
I have an object that looks (roughly) like the following:
l <- list(a = matrix(rnorm(9), 3), b = matrix(rnorm(9), 3), c =
matrix(rnorm(9), 3))
l$a[3,] <- sample(c("Message 1", "Message 2", "Message 3"))
l$b[3,] <- sample(c("Message 1", "Message 2", "Message 3"))
l$c[3,] <- sample(c("Mess
Dear All,
Could someone please suggest how to find the Kronecker sum of two 2x2
matrices,
i.e. given two matrices:
-A A
a -a
and
-B B
b -b
I need:
-A-BA B 0
a -a-B 0 B
b0 -A-b A
0b a-a-b
Many thanks,
Lara
[[alternat
m(x)[1]>1)
>
> should give you a vector with the elements of the list that you seek marked
> with TRUE.
>
> This vector can then be used to extract a subset from your list by:
>
> data.reduced=data[entries.with.nrows]
>
> Or similar
>
>
> HTH
> Jann
Hello All,
I have a list of dataframes, and I need to subset it by keeping only those
dataframes in the list that meet a certain criterion. Specifically, I need
to generate a second list which only includes those dataframes whose number
of rows is > 1.
Could someone suggest how to do this? I have
Dear List,
I am using function distCosine from package geosphere to a list of lat/lon
coordinates, and I want to calculate the great circle distance between a
pair of coordinates in the list and all other pairs --- essentially, the
output should be a matrix. I have been able to achieve this with t
Dear List,
I have a series of nested loops with the structure shown below, and I am
struggling to figure out how to divert output to folders created with
dir.create() within the loops.
What I need is for the output to end up as topNameK/subNameL/objNameM.pdf;
what I get instead is a series of dir
Dear List,
I sent a related message yesterday, but did not receive it through the
mailing list; on the R-help archives it reads as "An embedded and
charset-unspecified text was scrubbed...". So here it is again, with the
(little) progress I have made since then. Any help would be greatly
appreciat
Dear List,
I am working with a relatively large correlation matrix (~1600*1600), which
I am looking to plot with function cor.plot in package psych.
cor.plot draws a scalebar with as many tick marks/subdivisions as there are
rows in the matrix, which makes the values unreadable even for relativel
=c(1,1,5,1), xpd=TRUE)
>
> # display image without the 90 degree counter clockwise rotation
> image(t(x[nrow(x):1,]), axes=FALSE)
>
> ## add 100 column names
> y<-paste("column", 1:100)
> text( seq(0,1,length=100) , 1.01, y, pos = 2, srt = 270, offset=0, cex=.7)
Dear List,
I have a large (1600*1600) matrix generated with symnum, that I am using to
eyeball the structure of a dataset.
I have abbreviated the column names with the abbr.colnames option. One way
to get an even more compact view of the matrix would be to display the
column names rotated by 90
Dear List,
I am looking to perform exploratory analyses of two (relatively) large
datasets of categorical data. The first one is a binary 80x100 matrix, in
the form:
matrix(sample(c(0,1),25,replace=TRUE), nrow = 5, ncol=5, dimnames = list(c(
"group1", "group2","group3", "group4","group5"), c("V
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