I would agree that getting data into R from various sources is the biggest
pain point. Even if there is an api, the results are not always consistent
and you have to do lots of dimension checking to get it right. Or there
isn't an open api at all and you have to hack it by web scraping or
otherwise
That's not the point of facet_wrap so check out the cowplot package for
combining multiple ggplot objects (with legends) into one figure.
On Fri, Nov 10, 2017 at 10:21 AM, Marna Wagley
wrote:
> Hi R users,
> I need to create more than 20 figures (one for each group) in one page. I
> have a comm
Sorry I'm not sure what that error means.
Dominik
On Sun, Dec 18, 2016 at 17:21 David Winsemius
wrote:
>
>
> > On Dec 17, 2016, at 5:09 PM, Pedro Montenegro wrote:
>
> >
>
> > I'm new to R and Linux, and I have an issue I didn't see solved on the
>
> > internet.
>
> >
>
> > I'm using Ubuntu Mat
Pedro,
I've only worked with netcdf4 but I imagine your issue is similar to one's
I've had:
I think you can:
1. add your hdf5 lib directory to the LD_LIBRARY_PATH
http://grokbase.com/t/r/r-help/10at4wcjfq/r-ncdf4-package-installation-in-r
2. you can specify the direct path to lib and include direct
past versions of ggplot2 used to accept family as an argument directly, but
the latest ggplot2 (perhaps starting with v2?) requires method.args=list().
So the online sources you found using family directly were for an older
version of ggplot.
On Sun, Nov 13, 2016 at 8:18 AM, wrote:
> Hi. I’m a s
You may be able to do everything you need with the cowplot package.
On Tue, Oct 11, 2016 at 4:26 AM, Preetam Pal wrote:
> Hey Enrico,
> LaTex is not possible actually.
>
> On Tue, Oct 11, 2016 at 2:29 PM, Enrico Schumann
> wrote:
>
> > On Tue, 11 Oct 2016, Preetam Pal writes:
> >
> > > Hi,
> >
I typically call Rscript inside an sbatch file.
*batch_r.sh*
#! /bin/bash
cd /home//aso_regression_project #make sure you change to your
correct working directory
Rscript scripts/run_splitsample-modeling.R
and on the commandline of the login node:
sbatch batch_r.sh
There are lots of slurm con
I regularly crunch through this amount of data with tidyverse. You can also
try the data.table package. They are optimized for speed, as long as you
have the memory.
Dominik
On Wed, Sep 28, 2016 at 10:09 AM, Doran, Harold wrote:
> I have an extremely large data frame (~13 million rows) that rese
I regularly crunch through this amount of data with tidyverse. You can also
try the data.table package. They are optimized for speed, as long as you
have the memory.
Dominik
On Wed, Sep 28, 2016 at 10:09 AM, Doran, Harold wrote:
> I have an extremely large data frame (~13 million rows) that rese
ggplot will assign, or map if you will, the color based on the default
color scale when color is specified with the mapping argument such as
mapping = aes(color=...). You have two options:
1. if you want the color of your arrow to be based on a column in your
data, then manually scale the color wi
> Is there a way to extract MSE for a lambda, e.g. lambda.1se?
nevermind this specific question. it's now obvious. However my overall
question stands.
On Fri, Sep 16, 2016 at 10:10 AM, Dominik Schneider <
dominik.schnei...@colorado.edu> wrote:
> I'm doing some linear mode
I'm doing some linear modeling and am new to the ridge/lasso/elasticnet
procedures. In my case I have N>>p (p=15 based on variables used in past
literature and some physical reasoning) so my understanding is that I
should be interested in ridge regression to avoid the issue of
multicollinearity of
Thanks for the clarification!
On Sat, May 14, 2016 at 1:24 AM, Simon Wood wrote:
> On 12/05/16 02:29, Dominik Schneider wrote:
>
> Hi again,
> I'm looking for some clarification on 2 things.
> 1. On that last note, I realize that s(x1,x2) would be the other obvious
> inte
> varying with the covariate they relate to then you can do, by setting the
>> model up as a varying coefficient model, using the `by' argument to 's'...
>>
>> gam(snowdepth~s(fsca,by=fsca),data=dat)
>>
>>
>> this model is `snowdepth_i = f(fsca_
i = f(fsca_i) * fsca_i + e_i' . s(fsca,by=fsca)
> is not confounded with the intercept, so no constraint is needed or
> applied, and you can now interpret the smooth like a local GLM coefficient.
>
> best,
> Simon
>
>
>
>
> On 11/05/16 01:30, Dominik Schneider wro
Hi,
Just getting into using GAM using the mgcv package. I've generated some
models and extracted the splines for each of the variables and started
visualizing them. I'm noticing that one of my variables is physically
unrealistic.
In the example below, my interpretation of the following plot is tha
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