Hi
Within
https://rseek.org/
I got quite a lot pages from query
Multivariate Bernouli classification
Maybe some of them could help you.
Cheers
Petr
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Dear All,
I have a following for-loop code which is basically intended to read in
many excel files (each file has many columns and rows) in a directory and
extract the some rows and columns out of each file and then combine them
together into a dataframe. I use for loop which can do the work but q
Hello every one!
I'm really excited to finally introduce you and the world to "Prelude in R".
www.preludeinR.com
As you might have guessed by the name, this website is designed to give any
person (students, managers, wildlife professionals, etc) the keys to start
learning R, from scratch, using
Friends,
I am doing a URL classification, based on certain key words whether it
contains an executive information or not. I have already went through 50K
URL's and identified the key words and made it as 0, 1 ( 0 - do not have
the key word and 1 - have the key word) and 0- do not contain executive
Hello,
I still don't understand, my code returns each imputation in a separate
data.frame.
mydata <- split(Imputed, cumsum(c(0, diff(Imputed$Y) != 1)))
mydata[[1]]
# X1 X2 Y
#1 1 0 1
#2 2 1 2
#3 1 0 3
#4 2 1 4
#5 1 1 5
#6 2 1 6
#7 1 0 7
#8 2 1 8
And mydata[[2]] will be the o
Generally speaking, primarily statistical issues, which this appears to
be, are OT on R-help, which is concerned with R programming issues
(although they do someties intersect). You might therefore do better on a
statistical forum such as stats.stackexchange.com (especially if you do not
get a sat
Dear all,
I am using R 3.4.3 on Windows 10. I am preparing some teaching materials and
I'm having trouble matching the by-hand version with the R code.
I have fitted a Cox model - let's use the ovarian data as an example:
library(survival)
data(ovarian)
ova_mod <- coxph(Surv(futime,fustat)~age+
It would help if you show exactly the structure of your desired result, using
the simple example data you supplied (what, exactly, do you mean by "array"?)
If you want mydata[[1]] "to provide the values for all three 3 variables (Y, X1
and X2) of the first imputation only" then this will do it:
Hello everyone,
Thank you for this. Nonetheless it is not exactly want i need.
I need mydata[[1]] to provide the values for all 3 variables (Y, X1 and X2) of
the first imputation only. As it stands it returns the whole database.
Any ideas?
Best,
ioanna
F
Why not use as.matrix(Imp) in this case?
Regards -- Gerrit
Am 24.05.2018 um 17:04 schrieb Bert Gunter:
This is one of those instances where a less superficial knowledge of R's
technical details comes in really handy.
What you need to do is convert the data frame to a single (numeric) vector
This is one of those instances where a less superficial knowledge of R's
technical details comes in really handy.
What you need to do is convert the data frame to a single (numeric) vector
for, e.g. a matrix() call. This can be easily done by noting that a data
frame is also a list and using do.ca
Hello,
I am not sure I understand the question, but see if the following is
what you want.
split(Imputed, cumsum(c(0, diff(Imputed$Y) != 1)))
Hope this helps,
Rui Barradas
On 5/24/2018 3:46 PM, Ioanna Ioannou wrote:
Hello everyone,
I want to transform a data.frame into an array (lets
Hello everyone,
I want to transform a data.frame into an array (lets call it mydata), where:
mydata[[1]] is the first imputed dataset...and for each mydata[[d]], the first
p columns are covariates X, and the last one is the outcome Y.
Lets assume a simple data.frame:
Imputed = data.frame(
On Thu, 24 May 2018 at 18:41 Mark R Payne wrote:
Hi,
I seem to be having a problem adding the following two raster objects
together - one is a rasterLayer, the other is a rasterBrick. The extent,
resolution, and origin are the same, so according to my understand it
should work. The objects look
Hi,
I seem to be having a problem adding the following two raster objects
together - one is a rasterLayer, the other is a rasterBrick. The extent,
resolution, and origin are the same, so according to my understand it
should work. The objects look like so:
> obs.clim
class : RasterLayer
dime
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