similar to: Posting Guide

I have a suggestion for the posting guide. One problem with some posts is that they do not provide an example that can be reproduced. I think that many people just do not know how to easily specify some data and some technical assistance should be provided in the posting guide. If the problem depends on specific data they should be made aware, in the posting guide, of: dput(x) since that

Folks: I would like to propose a new R list, tentatively labeled r-contents. I wish to briefly explain the purpose and format here and solicit public comments, pro or con, so feel free to criticize or suggest a better name and other improvements or alternatives. R presently consists of a suite of about a dozen core recommended packages and several hundred contributed packages comprising

Here is a first draft of a guide for posters to r-help and r-devel. Suggestions on how to improve any aspect of it are most welcome. Suggestions on ways to make it more concise are especially welcome. Comments on which parts you like or don't like are welcome. Rather than clutter up R-help with lots of small corrections etc, please send them to me, and I will try to incorporate and

I have approximately 2.5 million rows from a number of sensor readings. Having plotted these, I can see a given pattern (say a spike in the amplitude away from the mean). I would now like to automate this procedure as we're expecting a great deal more data in the near future. Is there any package or function that will make this possible? Many thanks! I suppose, I could do something like:

I've placed a revision of the posting guide at http://pws.prserv.net/tap/posting-guide-draft2.html. (Posted there to make the HTML formatting easy to read.) I've tried to incorporate the suggestions people posted and mailed to me. Quite a few were of the form "too long, but you should add this..." :-) Brian Ripley, Jason Turner, Peter Dalgard, Patrick Burns, Frank Harrell,

Dear David, This is amazing, thank you so much. If I may ask another question: The output looks like the following: ### dput(head(x,15)) c("Metadata for Requested Time Series:", "", "prod_name=GLDAS_NOAH025_3H_v2.0", "param_short_name=Tair_f_inst", "param_name=Near surface air temperature", "unit=K",

I was preparing an e-mail for the help list and ran across a quandary. When asking for help it is useful to include the code/data so others can run your code and test it. I was running code on a data frame and wanted to include a small version of the data frame. The data frame was based on experimental data. What is the best way to do this? I didn't want to send an attachment so a wrote code

I have done the following using readLines directory <- "~/" files <- list.files(directory) data_frames <- vector("list", length(files)) for (i in seq_along(files)) { df <- readLines(file.path(directory, files[i])) df <- df[-(1:13)] df <- data.frame(year = substr(df,1,4), month = substr(df, 6,7), day =

> On Oct 15, 2017, at 3:35 PM, Miluji Sb <milujisb at gmail.com> wrote: > > Dear David, > > This is amazing, thank you so much. If I may ask another question: > > The output looks like the following: > > ### > dput(head(x,15)) > c("Metadata for Requested Time Series:", "", "prod_name=GLDAS_NOAH025_3H_v2.0", >

Dear all, i am trying to download time-series climatic data from GES DISC (NASA) Hydrology Data Rods web-service. Unfortunately, no wget method is available. Five parameters are needed for data retrieval: variable, location, startDate, endDate, and type. For example: ###

> On Oct 15, 2017, at 2:02 PM, Miluji Sb <milujisb at gmail.com> wrote: > > Dear all, > > i am trying to download time-series climatic data from GES DISC (NASA) > Hydrology Data Rods web-service. Unfortunately, no wget method is > available. > > Five parameters are needed for data retrieval: variable, location, > startDate, endDate, and type. For example:

Hi , I just imported a large data set from notepad. I want to label the columns in R. I used 'import Dataset' to bring in my data set Now, I would like to label V1,V2,V3 etc?? Thanks -- View this message in context: http://r.789695.n4.nabble.com/Naming-columns-tp4674595.html Sent from the R help mailing list archive at Nabble.com.

Dear list, I wish to plot chromatin precipitation data: I would like to have a rectangles (x:end-start, y:peak) but I do not have an idea how to define x (in terms of qplot syntax) and to choose the correct geom. mydata is a subset of a larger file. > mydata chrom start end peak 1 chr11 5291000 5291926 8 2 chr11 10988025 10988526 7 3 chr11 11767950 11768676 8 4

Hello, I am trying to create multiple scatter plot graphs. I have 1 independent variable (Age - weeks post conception) and 18 dependent variables ("Gene n" Expression) in one csv file. Is there a way to set up a looped function to produce 18 individual scatterplots? At the moment, I am writing the plot() function out 18 times to make the 18 graphs. My code is below and csv file is

Here is some data (dput output below) > myData id group 1 D599 A 2 002-0004 B 3 F01932 A 18 F16 B 19

I have a Rails application where I need to search. Every time an update happens to something I need to update the index for the changed and related document. As I currently have to run on Windows (and therefore can''t use the native extension) it is quite slow to index sometimes and the user have to wait a couple of seconds for the save operation to return. A thought is to put this

Dear R Programmers, I am trying to run a Poisson regression on all pairs of variables in a data set and obtain the permutation distribution. The number of pairs is around 100000. It seems my code will take weeks to run, unless I try something else. Could you give me any suggestions on how to improve the speed of the code below, or any general suggestions on how I may accomplish this task. Thanks

Hi All, I'm a little stumped by the following problem. I've got a dataset with the following structure: idxy ix iy country (other variables) 1 1 1 c1 x1 2 1 2 c1 x2 3 1 3 c1 x3 . . . . . 3739 55 67 c7 x3739 3740 55 68 c7 x3740 where ix and

My data: > dput(mydata) structure(list(V1 = c(1328565067, 1328565067.05, 1328565067.1, 1328565067.15, 1328565067.2, 1328565067.25), V2 = c(0.0963890795246276, 0.227296347215609, 0.240972698811569, 0.221208948983498, 0.230898231782485, 0.203282153087549), V3 = c(0.0245045248243853, 0.0835679411703579, 0.0612613120609633, 0.058568910563872, 0.0511868450318788, 0.0557714205674231 )), .Names =

I have a data set with about 6 million rows and 50 columns. It is a mixture of dates, factors, and numerics. What I am trying to accomplish can be seen with the following simplified data, which is given as dput output below. > head(myData) mydate gender mygroup id 1 2012-03-25 F A 1 2 2005-05-23 F B 2 3 2005-09-08 F B 2 4 2005-12-07 F B 2