You are making this hard on yourself by not paying attention the Posting Guide
listed in the footer of every email on this list. You would probably also find
[1] helpful also.
[1]
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
--
Sent from my phone. Plea
Sending this to Hemant a second time as i forgot to reply to list.
Hi Hemant:
Well technically the code you give below shouldn’t work, because “start” and
“count” are suppose to be of the same dimensions as the variables. I guess
Pierce’s code must be very forgiving if that is working. One th
I know nothing about netCDF files, but if you can download the file
and make it an array, extraction via indexing takes no time at all:
> ex <-array(rnorm(2*1e4*365, mean = 10), dim = c(100,200,365))
> system.time(test <-ex[35,2,])
user system elapsed
0 0 0
> length(test)
[
I am working with a 3-dimensional netCDF file having dimensions of X=100,
Y=200, T=365.
My objective is to extract time vectors of a few specific grids that may not be
contiguous on X and/or Y.
For example, I want to extract a 5x365 matrix where 5 rows are each vectors of
length 365 of 5 spe
Hi Jeff, sorry for referring to you as Jennifer earlier, accept my apologies.
I attached a sample dataset in the question, am afraid it must have failed to
attach.
I have attached it again..
Regards
---
Kevin Kariuki
I just added `docx_extract_all_cmnts()` (and a cpl other
comments-related things) to the dev version of `docxtractr`
(https://github.com/hrbrmstr/docxtractr). You can use
`devtools::install_github("hrbrmstr/docxtractr")` to install it.
There's an example in the help for that function.
Give it a go
I can understand you not wanting to supply your actual data online, but only
you know what your data looks like so only you can create a simulated data set
that we could show you how to work with.
--
Sent from my phone. Please excuse my brevity.
On July 2, 2016 2:57:39 AM PDT, Kevin Wamae wro
Hi Bert,
My reply is inline:
On 1 July 2016 at 17:02, Bert Gunter wrote:
> Inline.
>
> Cheers,
> Bert
>
>
> Bert Gunter
>
> "The trouble with having an open mind is that people keep coming along
> and sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
I have a drug-trial study dataset (attached image).
Since its a large and complex dataset (at least to me) and I hope to be as
clear as possible with my question.
The dataset is from a study where individuals are given drugs and followed up
over a period spanning two consecutive years. Individua
Dear Marietta
Comments in-line
On 01/07/2016 18:28, Marietta Suarez wrote:
i'm trying to generate data for a meta analysis. 1- generate data following
a normal distribution, 2- generate data following a skewed distribution, 3-
generate data following a logistic distribution. i need to loop this
Just as a very minor point "read.csv" returns a data.frame. Therefore the
data.frame in "data <- data.frame(read.csv("hw1_data.csv"))" is redundant and
just adds clutter to the code.
John Kane
Kingston ON Canada
> -Original Message-
> From: g...@st-andrews.ac.uk
> Sent: Fri, 1 Jul 2016
Hi Giles,
Look at ?mean
In addition it seems you need to read a few tutorials on R. Several are
already mentioned on this list otherwise Google can direct.
Hope this helps,
Ulrik
Giles Bischoff schrieb am Fr., 1. Juli 2016 18:55:
> So, I uploaded a data set via my directory using the command
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