similar to: More efficient use of reshape?

I am getting an unexpected gap in a simple plot of monthly data series. I have created a csv file of monthly climate observations that I store on-line. When I download the csv file and plot one of the series, I get a gap even though there is data for the missing point. Here is a snippet to show the problem. ## Strange plot results link <-

I have an irregular time series, which cannot easily be converted to a ts object (long stretches with NA). I have calculated the climatological mean and st.dev, but need help on how to calculate the anomalies from the climatology and my original data set. Below is an example, where I have indicated the basic idea of what I want to do under Question 1 and 2. I assume I will have to create a custom

Here I leave some source client android for Icecast. There is one that works with mp3, one that works with OGG Vorbis and one more that works with Theora, I've only tried the MP3 and Ogg Vorbis, and have certain limitations but work well. Greetings. Aqu? dejo algunos clientes source android para Icecast. Hay uno que funciona con mp3, otro que funciona con OGG Vorbis y uno mas que funciona

Hello all, I am trying to use "clim.pact" package for my work, but since this is the beginning for me to use gridded datasets in "R", I am having some trouble. I want to do seasonal analyses like trends, anomalies, variograms, EOF and probably kriging too to downscale my 1 degree gridded data to 0.5.  So, as a first step, I compiled my entire dataset (with 25

Dear all, I have in my possession a netcdf from which I want to extract some data files. I have used the "ncdf" package to read the netcdf file and used the "get.var.ncdf" function to identify the variable i wish to use. The data is in the form of a time-series of geographical data points that relate to climatology variables. As such I have a large data frame,

I am trying to run the following code in R on a Linux cluster. I would like to use the full processing power (specifying cores/nodes/memory). The code essentially runs predictions based on a GAM regression and saves the results as a CSV file for multiple sets of data (here I only show two). Is it possible to run this code using HPC packages such as Rmpi/snow/doParallel? Thank you!

Based on some recent r-help discussions, I have been trying out plotting confidence intervals using predict and matplot. Matplot appeared to not be plotting the linear regression when using the default column names generated by read.table (V1, V2, etc). On further inspection, the error seemed to be with predict and vector names (V1, V2) rather than with matplot. I was using some textbook

Dear R Users, I am encountering a problem when reading nc files into R using the ncdf and ncdf4 libraries. The nc files are too large to attach an example (but if someone is interested in helping out I could send a file privately via an online drive), but the code is basic: for(i in 1:length(thesenames[,1])){ data <- nc_open(paste(INDIR, thesenames[i,c("wholename")],

Hi, I often use the mod() and instring() functions that are available in the clim.pact package. This package has a lot of dependencies, including installation of netCDF, and I haven't yet been able to get library(clim.pact) to work on a Mac OS 10.4.6. A previous request for help with the Mac problem yielded no results, so now I wonder if I could just extract the definitions for the couple

On Fri, Apr 22, 2016 at 1:32 AM, Louise Mair <louise.mair at slu.se> wrote: > Dear R Users, > > I am encountering a problem when reading nc files into R using the ncdf > and ncdf4 libraries. The nc files are too large to attach an example (but > if someone is interested in helping out I could send a file privately via > an online drive), but the code is basic: > ?[...]?

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 dimensions : 60, 200, 12000 (nrow, ncol, ncell) resolution : 0.5, 0.5 (x, y) extent : -70,

I normally use the raster or clim.pact pckages to read netcdf (.nc) files. This has always worked out for me until this weekend every time i try to read a .nc file i get the following error Program: C:\Program Files\RStudio\bin\x64\rsession.exe File: posixio.c, Line 417 Expression: offset >= 0 This application has requested the Runtime to terminate it in an unusual way.Please contact the

I am wondering if anyone might know why the package clim.pact won't install properly. I have tried many URL sites and the same thing happens. I get the error message below. I also tried downloading the ZIP from the CRAN site and extracting the file myself, but an error message (something like, "not an archive file") appears. I operate through Windows. Thanks. Gary Nelson.

Hi I have measured the UV absorbance (abs) of 10 solutions of a substance at known concentrations (conc) and have used a linear model to plot a calibration graph with confidence limits. I now want to predict the concentration of solutions with UV absorbance results given in the new.abs data.frame, however predict.lm only appears to work for new "conc" variables not new "abs"

Hello, All: I am unable to manually replicate predict.lm, specifically comparing se.fit with (fit[,3]-fit[,2]): I think their ratio should be 2*qnorm((1-level)/2), and that's not what I'm getting. Consider the following slight modification of the first example in help('predict.lm'): set.seed(1) x <- rnorm(15) y <- x + rnorm(15) predict(lm(y ~ x)) new <-

Hello, I'm trying to develop a box plot of time series data to look at the range in the data values over the entire period of record. My data initially starts out as a list of hourly data, and then I've been using this code to make this data into the final ts array. # Read in the station list stn.list <- read.csv("/home/kbennett/fews/stnlist3", as.is=T, header=F) # Read in

Some years ago when I used S-PLUS, I seem to remember, there was a discussion about a simple method of removing trailing spaces from vector elements. I'd be fairly sure the same would work in R, but I can't find any mention of anything like it in the R archives or with help.search(). There are ways I could do it with substring(), but I seem to remember there was something more elegant.

Hi all there. I am trying to set up an icecast2 server (wich is already running) to send some stream mount point to another server. I mean, my server is streaming at /radio1.mp3 mount point. We can listen it at http://myserver:8000/radio1.mp3; so, i want to know if is there any way to "clone" that strem and send it to another server, such as http://giss.tv:8000/radio1.mp3 I have been

Hello, I have installed the package clim.pact in R on both Mac OS X and Windows XP. Everything works fine on the Mac but in Windows, I have a problem when I try to execute some simple commands. I get this error: Error in gzfile(file, "wb") : unable to open connection In addition: Warning message: In gzfile(file, "wb") : cannot open compressed file

http://giss.tv/ is what you need ! Le 2 f?vr. 2011 20:26, "Timothy Clark" <timothyclark113 at gmail.com> a ?crit : folks- do any of you know of a sight that offers free icecast servers? I am looking for one that will also provide you with the bandwidth for your listeners as well. like maybe one that will let around 4 to 00 listeners be connected at the same time. any ideas?