similar to: parsing strings between [ ] in columns

Dear R-gurus, Just supose I have a dara.frame that looks like myDF<-read.table(stdin(),head=T,sep=",") codID,namesp,k1,k2,k3,k4 1,spA,2,5,6,3 2,spB,4,5,4,6 3,spC,2,1,5,6 4,spC,5,4,3,2 5,spD,1,2,3,4 6,spE,2,4,3,1 I need to update the columns k1-k4 with the namesp, but considering the math between Kx and codID. My desired output must looks like: codID,namesp,k1,k2,k3,k4

Right. I'm trying to access a server within my organization which has a cert error that I cannot fix. The example link I provided was to a site on the web that does not have the cert error. From the linux shell I use the "-k" switch with cURL to ignore cert errors.. is there an equivalent in the R world? -Rich -----Original Message----- From: David Winsemius [mailto:dwinsemius

> On May 8, 2018, at 9:03 AM, Evans, Richard K. (GRC-H000) <richard.k.evans at nasa.gov> wrote: > > That said, I have two issues to ask for help with: > > 1) how to ignore cert errors with a fromJSON call If you can do it with curl, then why aren't you doing one of a) a system call, b) installing and loading RCurl, c) installing and loading curl (the R package with that

That said, I have two issues to ask for help with: 1) how to ignore cert errors with a fromJSON call And 2) why the json data from the example link doesn't convert to a data frame. As seen in the following example library("rjson") result <- fromJSON(file =

Dear anyone who knows more about R than me (so everyone). I have been bashing my head on the keyboard all day trying to do something with my table. I have some data, like so: yyyy-mm Rainfall(mm) 1 1977-02 17.4 2 1977-03 34.0 3 1977-04 26.2 4 1977-05 42.6 5 1977-06 58.6 6 1977-07 23.2 7 1977-08 26.8 8 1977-09 48.4 9

Hi David, .. I think I've got it :-) Please let me know if you see anything glaringly wrong with this: library(RCurl) zWebObj <- postForm("https://www.semantic-mediawiki.org/w/api.php", "action" = "ask", "query" = "[[Category:City]]|?Capital%20of|?Has%20area", "format" = "json" .opts = list(ssl.verifypeer =

Dear all, I have a data.frame with some NAs that can happens anywere, and I would like to keep only rows without NAs. Thanks in advance for your help, and Merry Xmas. myvect<-runif(100) myvect[sample(1:100)[1:5]]<-NA myDF<-data.frame(matrix(myvect,ncol=5)) myDF miltinho [[alternative HTML version deleted]]

Hello, I'm trying to use rjson to parse a JSON object. The object can be found here http://pastebin.com/np0s5hgM (you'll probably need to add quotes around the content) fromJSON returns the error glibc detected home/sguha/lib64/R/bin/exec/R: realloc(): invalid next size: 0x000000000209e210 *** Is there a fix coming soon? Maybe CRAN should also have an outstanding bug field -

Regarding the question: From the linux shell I use the "-k" switch with cURL to ignore cert errors.. is there an equivalent in the R world? I have (sometimes) had success by creating a .curlrc file and putting the necessary curl options in it. When R invokes curl, curl picks up the options. [my context was running install.packages( method='curl' ) pointing to a local

[non-tabular json data] -- ok.. so I think I need to figure out how to make it tabular. Thanks! [curl] -- I was hoping there was a cleaner way to do it.. using R to evoke cURL to get the data as text and then passing it into getJSON seems to be what I need to do. Do you by chance have an simple example of using RCurl to get a response ignoring cert errors? ty -Rich -----Original Message-----

Hi, I have a very rudimentary kind of question on using unlist(). I am parsing a bunch of JSON text using rjson package. Some data elements in a dictionary happen to be null which rjson parses correctly. > fromJSON(json_str='{"query":{"A":10, "B":null, "C":"hello"}, "query":{"A":20, "B":null,

Hello I am able to construct a url that points to some data online in the JSON format. See an example at [0]. I would like to work with this data as a dataframe in R. I know that there is a package for handling json data [1] but it assumes the data is in a local file but It is not clear to me how to request the data from the web in an R script and get the json data converted into a data frame

I?ve been tinkering and discovered that the link I need to read json data from is ?https? and there is a certificate warning that I have to click through from a browser. That might be my issue. Is there any way in the json package to tell it to ignore self-signed cert errors in a url? -Rich From: Eric Berger [mailto:ericjberger at gmail.com] Sent: Tuesday, May 08, 2018 11:31 AM To: Evans,

Dear Clara, Thanks for the reply. I am forwarding your message to the list, ok. When I wrote was a way of get further information to help the helpers. happy holidays, milton ---------- Forwarded message ---------- From: Clara Brück <clara_brueck@web.de> Date: 2009/12/30 Subject: Re: [R] Negbin Error Warnings To: milton ruser <milton.ruser@gmail.com> Dear Milton, Thanks for

Hi Rich, Take a look at the function fromJSON found in the rjson package. Note that the Usage in the help page: ?fromJSON names the second argument 'file' but if you look at the description the argument can be a URL. HTH, Eric On Tue, May 8, 2018 at 6:16 PM, Evans, Richard K. (GRC-H000) < richard.k.evans at nasa.gov> wrote: > Hello > > I am able to construct a url that

Hi, I have gote the following data x1 <- c(rep(1,6),rep(4,7),rep(6,10)) x2 <- rnorm(length(x1),6,1) data <- data.frame(x1,x2) and I would like to compute the mean of the x2 for each individual of x1, i. e. x1=1,4 and 6? Thank you very much in advance, Amori [[alternative HTML version deleted]]

Dear all, I have a probability of presence of distribution of a species of interest (varying from 0 to 1 in continuous form) and I have a set of points where I know that species really occurs. But I don´t have points of absence. So, for each true presence I know the estimated presence. I would like to know how can I compute AUC, taking account these Available data. Best wishes,

Hello All - I am trying to use RJSONIO to read in some JSON files. I was wondering if anyone could please comment on the level of complexity of the files it can be used to read, exports from or directly from NoSQL DBMS like MongoDB and such. Also, i understand that in reading the JSON file RJSONIO will automatically create the necessary structures. However I cannot seem to use to to read the

Dear R-experts, I am installing new libraries using install.packages("ggplot2",dependencies=T). But I perceive that many dependencies are already installed. As I am using a low-band internet, how can avoid reinstall installed libraries? cheers milton [[alternative HTML version deleted]]

Dear R-experts, I am installing new libraries using install.packages("ggplot2",dependencies=T). But I perceive that many dependencies are already installed. As I am using a low-band internet, how can avoid reinstall installed libraries? cheers milton [[alternative HTML version deleted]]