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66 lines
1.8 KiB
R
66 lines
1.8 KiB
R
\name{R2nparray}
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\alias{R2nparray}
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%- Also NEED an '\alias' for EACH other topic documented here.
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\title{Write R data to file as Numpy Arrays
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%% ~~function to do ... ~~
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}
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\description{Takes a matrix, scalar, or vector in R and dumps it to a file
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as a NumPy array.
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%% ~~ A concise (1-5 lines) description of what the function does. ~~
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}
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\usage{
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R2nparray(..., fname, append = FALSE)
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}
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%- maybe also 'usage' for other objects documented here.
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\arguments{
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\item{\dots}{Scalars, vectors, or matrices. Can be part of a list or not.
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%% ~~Describe \code{\dots} here~~
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}
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\item{fname}{Filename to write the arrays to.
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%% ~~Describe \code{fname} here~~
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}
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\item{append}{Whether or not to append to an existing file or overwrite it.
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%% ~~Describe \code{append} here~~
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}
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}
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\details{The names of the arugments are the names of the arrays in the file.
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%% ~~ If necessary, more details than the description above ~~
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}
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\value{
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%% ~Describe the value returned
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%% If it is a LIST, use
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%% \item{comp1 }{Description of 'comp1'}
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%% \item{comp2 }{Description of 'comp2'}
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%% ...
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}
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\references{
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%% ~put references to the literature/web site here ~
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}
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\author{Skipper Seabold
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%% ~~who you are~~
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}
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\note{
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%% ~~further notes~~
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}
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%% ~Make other sections like Warning with \section{Warning }{....} ~
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\seealso{
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%% ~~objects to See Also as \code{\link{help}}, ~~~
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}
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\examples{
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mdat <- matrix(c(1,2,3, 11,12,13), nrow = 2, ncol=3)
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scalar <- 127.5
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vec <- c(1,2,3)
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R2nparray(mdat=mdat, myscalar=scalar, vec=vec, fname="./numpyarrays")
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# or use a list
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lst = list(mdat=mdat, myscalar=scalar, vec=vec)
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R2nparray(lst, fname="./numpyarrays")
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}
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% Add one or more standard keywords, see file 'KEYWORDS' in the
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% R documentation directory.
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\keyword{ IO }
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