> From: David L Carlson [dcarl...@tamu.edu]
>This overwrites the data so you might want to create a copy first.
>
> example <- data.frame(V1=c(3, -1), V2=c(-2, 4), V3=c(4, 1))
> tf <- ifelse(example<0, TRUE, FALSE)
> example[tf] <- NA
> apply(example, 1,
This overwrites the data so you might want to create a copy first.
example <- data.frame(V1=c(3, -1), V2=c(-2, 4), V3=c(4, 1))
tf <- ifelse(example<0, TRUE, FALSE)
example[tf] <- NA
apply(example, 1, mean, na.rm=TRUE)
--
David L Carlson
Associate Profes
Thank you all. Really!
I have used the following function:
apply(dfrm, 1, function(x) mean(x[x>=0]) )
Someone of you even gave me a few interesting explanations
about why to use it.
Still thank you all.
Andrea
On Mon, May 14, 2012 at 6:52 PM, David Winsemius wrote:
>
> On May 14, 2012, at 12:
On May 14, 2012, at 12:32 PM, Andrea Sica wrote:
Dear all,
I am sure it won't be difficult for you!!
I need to calculate the average among variables for the single units
of my
dataset.
But, while doing it, I need to do not consider some values.
To better explain, think like there are two un
This was actually discussed about a week and a half ago with many good
solutions offered, but I think the most idiomatic would be something
like this:
apply(dataset, 1, function(x) mean(x[x>0]))
The reasons I like it:
i) It uses the apply function to do the same operation row-wise
(that's what t
On 2011-01-10 07:38, David A. wrote:
Dear list, havig the following matrix
"Value" "Class"
13.001
12.801
11.781
11.702
11.612
11.952
11.552
12.403
11.401
12.271
12.493
11.394
11.804
12.393
12.723
12.183
11.643
11.504
12.81
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