[R] [R-pkgs] A New R Kernel for Jupyter

2017-12-21 Thread Spence Aiello
Hello R Community, 'JuniperKernel' is a new package that provides a 'Jupyter' kernel implementation. This package is the first C++ 'Jupyter' kernel to exist in CRAN. Its architecture differs from incumbent R kernels in novel ways that allow for streaming I/O and full support of 'Jupyter' extension

[R] [R-pkgs] New package: tidyhydat

2017-12-21 Thread Albers, Sam ENV:EX
Hello all, tidyhydat - https://CRAN.R-project.org/package=tidyhydat - was accepted on CRAN recently. tidyhydat is a new R package that provides functions in R to access Canadian hydrometric data sources and then tidy that data. We have tried to simplify the process of importing data so that us

[R] [R-pkgs] release of version 0.2 of the textrank package

2017-12-21 Thread Jan Wijffels
Hello R users, I'm pleased to announce the release of version 0.2 of the textrank package on CRAN: https://CRAN.R-project.org/package=textrank *The package is a natural language processing package which allows one to summarize text by finding* *- relevant sentences* *- relevant keywords* This is

Re: [R] develop.raw error ( adimpro )

2017-12-21 Thread Bert Gunter
If you do not receive a satisfactory reply here, contacting the package maintainer for such specific issues may be your next option. (S)he can be found by maintainer("adimpro") . Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things

[R] develop.raw error ( adimpro )

2017-12-21 Thread Cleber N.Borges via R-help
Hello all, I'm trying to use the adimpro package to read RAW files (image). Make readins is OK! > r <- read.raw( '20171218_210956.dng', type='RAW', compress=FALSE ) > summary( r ) > ### cut the many lines... Filter pattern: GR/BG > extract.info( r ) [1] "GR/B" > To next, develop the raw file usi

[R] Fitting Beta Distribution

2017-12-21 Thread Lorenzo Isella
I answer my own question: I had overlooked the fact that the normalization factor is also a function of the parameters I want to optimise, hence I should write dbeta2 <- function(x, shape){ res <- x^(shape-1)*(1-x)^(shape-1)/beta(shape, shape) return(res) } after which the results ar

[R] Fitting Beta Distribution

2017-12-21 Thread Lorenzo Isella
Dear All, I need to fit a custom probability density (based on the symmetric beta distribution B(shape, shape), where the two parameters shape1 and shape2 are identical) to my data. The trouble is that I experience some problems also when dealing with the plain vanilla symmetric beta distribution.