similar to: R

Hello,?I?am experiencing some difficult time with my R package. Every time I compilei it a hidden file, desktop.ini, is?being created. I am using C++ behind, linkking to Rcpp. The file is generated even when I compile it with?Linux, and in many different computers. Does anybody have any advice or ideas? [[alternative HTML version deleted]]

Make a reproducible example [1][2][3], because it doesn't happen for me. Then post your example at [4] or [5], because this is the wrong list for this question. You may find that the act of browsing the directory using a GUI is what creates that file rather than the compilation itself. [1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example [2]

hello, I have a graph and i use qgraph package to calculate centrality parameters. Now I want to know the maximum value of shortest path for each vertex with discarding the Inf value in short pathes. For this I use the ShortestPathLengths of centrality function in qgraph. but when I want to get the maximum the result is wrong. here is my code: cen<-centrality(Q)

Dear list members, I want to save residuals above or less than a certain value to an R object. I have performed a multiple linear regression, and now I want to find out which cases have a residual of above + 2.5 and ? 2.5. Below I provide the R commands I have used. Reg<-lm(a~b+c+d+e+f) # perform multiple regression with a as the dependent variable. Residuals<-residuals(reg) # store

Dear all, I wanted to compare Bonferroni vs TukeyHSD correction over a range of groups and group sizes, and wanted to use the function qtukey. In the help documentation it says qtukey(p, nmeans, df, nranges = 1, lower.tail = TRUE, log.p = FALSE) Arguments q vector of quantiles. p vector of probabilities. nmeans sample size for range (same for each group). df degrees of freedom for s (see

I am working on Johansen cointegration test, using urca and var package. in the selection of var, I have got following results. >VARselect(newd, lag.max = 10,type = "none") $selection AIC(n) HQ(n) SC(n) FPE(n) 6 6 6 5 $criteria 1 2 3 4 5 6 7 8 9 AIC(n) -3.818646e+01 -3.864064e+01

Hello all, I'm a novice R programmer and I don't have a clue as to how to approach this. I have tried many different approaches only to fail and I can't seem to wrap my head around it. So I turn to the experts. I have a text file with patient data that has incorrect dates of service. I need to update the dates of service in the text file with data that's in a dataframe.

I think we need a bit more info on the data layout and what decision rule you are using to update the Date of Service. Are you just updating a record to provide the most recent DoS or are you correcting errors? Have a look at http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example or Reproducibility ? Advanced R.for some susggestions on how to form a good question

thank you for your valuable reply. I have attached my commands, results, and data with this mail..maybe it will be beneficial for you to feedback. On Tue, Nov 21, 2017 at 9:13 PM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: > Your example is incomplete... as the bottom of this and every post says, > we need to be able to proceed from an empty R environment to wherever you

I have and they have not yet replied - however that was only two or three days ago. I have included a code example. > On Jun 22, 2017, at 8:25 PM, David Winsemius <dwinsemius at comcast.net> wrote: > >> >> On Jun 22, 2017, at 4:44 PM, Caroline <gliddeca at science.oregonstate.edu> wrote: >> >> I am using the R-package MODISTools (different than

Sorry for messed up text. Here it goes again: I am learning to use the gsDesign package. I have a question about Pocock and OBF boundary. As far as I can understand, these 2 boundaries require equal spacing between interim analyses (maybe this is not correct?). But looks like I can still use gsDesign to run an analysis based on unequal spacing:? >

Hi I work with cmsaf package and have a script for prepare data in R. I run this script and have some error like this:Error in if (startdate < dates[1]) (dums <- 1) : missing value where TRUE/FALSE needed In addition: Warning messages: 1: running command 'tar.exe -tf "D:/CM SAF/ORD24552.tar"' had status 2 2: In eval(ei, envir) : NAs introduced by coercion 3: In eval(ei,

Before responding to Jeff's posting, let me reiterate my question: Why does a function using m1*m1 produce an integer overflow, but m1^2 does not? As for Jeff's 'response': > a) Numeric values may be either integers (signed 32 bit) or double precision (53 bit mantissa). > b) Double precision constants are numeric with no decoration (e.g. 61224). Integer constants have an L

You might get someone on this last willing to invent something from scratch, but really this mailing list works best if you give very specific information, such as a verbatim copy of several records worth of your data file including all the stuff you want to skip over. Usually if someone is planning on inventing an example from scratch they make a blog post which you could find via search engine.

Hard to follow data analysis without data. Try making your example reproducible [1][2][3] and post in plain text (a setting in your emailer). Read the Posting Guide mentioned in the footer to avoid other posting pitfalls. [1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example [2] http://adv-r.had.co.nz/Reproducibility.html [3]

Your example is incomplete... as the bottom of this and every post says, we need to be able to proceed from an empty R environment to wherever you are having the problem (reproducible), in as few steps as possible (minimal). The example needs to include data, preferably in R syntax as the dput function creates... see the howtos referenced below for help with that. [1], [2], [3] You also need to

We cannot help you understand what you are doing if you do not show us what you are doing. Here are some discussions about how to communicate questions about R [1][2][3]. [1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example [2] http://adv-r.had.co.nz/Reproducibility.html [3] https://cran.r-project.org/web/packages/reprex/index.html -- Sent from my phone.

Hi, I am extracting positions data from the marine traffic website. The table has a "Timestamp" column which, in the browser, appears with the format yyyy-mm-dd HH:MM (UTC), e.g. 2017-07-10 14:04 (UTC). When I import the table, the same date "2017-07-10 14:04 (UTC)" appears as "1499696500149969650021 minutes ago", This is the more recent date and time. Older

Residuals are stored as a numeric vector. The R software comes with a document "Introduction to R" that discusses basic math functions and logical operators that can create logical vectors: abs( stdresiduals ) > 2.5 It also discusses indexing using logical vectors: stdresiduals[ abs( stdresiduals ) > 2.5 ] Note that in most cases it is worth going the extra step of making your

I have following codes for ggplots. The legends are given in the plot do not match with the values specified in the codes given below. Your helps highly appreciated. Greg library(ggplot2) p <- ggplot(a,aes(x=NO_BMI_FI_beta ,y=FI_beta ,color= Super.Pathway))+ theme_bw() +theme(panel.border=element_blank()) + geom_point(size=3) p2<-p+scale_color_manual(name="Super.Pathway",