Thanks for your offer to contribute.
R is developed via the svn repository. If you want to change patches for
bugs from the repository. Please use a curent version of R-devel for
fixing the issue and submit the patch as a diff against the R-devel
sources and post it in form of an attachment in
On 10.01.2016 02:38, Rob Grant wrote:
Hi,
I am wondering how to suppress console output when using choose.dir() on
Windows 10 with RStudio.
Am getting a log output when using this function. Example:
...
22:07:18.873 INFO
|9824|ccdi_client_protorpc.cpp:413:ccdi::client::CCDIGetSyncState| The C
Hi,
I'm a newcomer to R and have been picking it up for the last month. I
really like it and recently I've been trying the bug tracker to see if
there's any way I can help.
I'm confused what to do after fixing a bug on my local machine. Since
the github mirror says read only, are changes done via
Hi,
I am wondering how to suppress console output when using choose.dir() on
Windows 10 with RStudio.
Am getting a log output when using this function. Example:
...
22:07:18.873 INFO
|9824|ccdi_client_protorpc.cpp:413:ccdi::client::CCDIGetSyncState| The CCD
process doesn't appear to be running
Please study each line of code, and use the str command to study the
intermediate data objects... the examples on this list are almost never
plug-and-play for your real work. Note that while you provided some of the
code necessary to make your example reproducible, I had to fill in blanks
with
Dear Michael,
Thanks for your feedback. Actually, I would like to show (and compare) size
distribution of df1 and df2 in the single plot using ggplot2, something
like the attached picture. The command dosesn't lead me to this purpose.
However, I'm really new here, could you please help me more on
Please reply to the list as well as others may be able to help you.
Comments below.
On 09/01/2016 16:08, Charles Thuo wrote:
I read that glm poisson should have continous predictor variables but my
model has both continous and discrete predictor variables.
I think you need to read more widely
Thanks Greg, I'll take a look on that package as well.
I'm still unsure whether to calculate these splines at each function run,
or to store the coordinates of each spline (curve) and read them when
needed. There are performance issues to take into account, but from my
current tests it seems that c
Hi,
Well, you have to extrapolate from that post that wherenearest is a function
you must create on your own. Maybe something like this?
#' Find the index into a dataset that is 'closest' to a specified point.
#'
#' Adpated from https://stat.ethz.ch/pipermail/r-help/2011-March/272641.html
#' @
Sorry Maryam but I use neither reshape nor ggplot2 so I will leave it to
others to advise you.
On 09/01/2016 14:29, maryam moazam wrote:
Dear Michael,
Thanks for your feedback. Actually, I would like to show (and compare)
size distribution of df1 and df2 in the single plot using ggplot2,
some
Dear Charles
You showed us a call of glm with which you are presumably not satisfied.
What happened to disappoint you?
On 09/01/2016 09:55, Charles Thuo wrote:
I have the following glm
v_glm <-
glm(claim_count~ave_age+cost+inc.count+p.statcount,data=v,family=poisson)
claim_count - dependent
Dear Maryam
If you just need all the values of size would
c(df1$size, df2$size)
work?
On 08/01/2016 21:44, maryam moazam wrote:
Dear Sir / Madam,
I have just come to the amazing R software, so please be patient if my
question is basic for you. I have 2 text file (say 1.txt and 2.txt), each
fil
Thank you Be for the good guide, however no luck with the syntax used namely;
ix0 = wherenearest( lower_left_lon_lat[1], lon )
ix1 = wherenearest( upper_right_lon_lat[1], lon )
iy0 = wherenearest( lower_left_lon_lat[2], lat )
iy1 = wherenearest( upper_right_lon_lat[2], lat )
# I end up with this
Hi,
This post gives more details on how to transform your lat/lon values to
row/column indices. The question and answer are specifically about the ncdf
package, but the workflow is identical when using the ncfd4 package.
https://stat.ethz.ch/pipermail/r-help/2011-March/272641.html
Cheers,
Ben
Thank you Mr. Anthon for your feedback. So, how can I extract the data at the
specified latitude and longitude?Or, How can I get the latitude and longitude
index which corresponds to the following coordinates from the netcdf file?
dar_lon <- 39.2
dar_lat <- -6.87 _
Peter E. Tuj
Hi Peter,
the start in nc_varget requires a latitude and longitude index, not the
latitude and longitude in double format.
So you need to figure out what index your latitude and longitude correspond to,
which will depends on what data are in your netCDF.
it might have looked like that it worked
I have data file in netcdf with three dimensions (x, y, t) and I want to
extract a variable RAINC and RAINNC
using longitude and latitude for a single point location with all the time, but
no lucky. The syntax is as follows;;
setwd( "/run/media/tuju/0767090047/extract_wrf_txt_file" )
rm( list =
I have the following glm
v_glm <-
glm(claim_count~ave_age+cost+inc.count+p.statcount,data=v,family=poisson)
claim_count - dependent variable and is discrete
ave_age - predictor variable and is continuous
cost - predictor variable and is continuous
inc_count - predictor variable and is discret
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