Improved documentation
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6 changed files with 15 additions and 14 deletions
1
R/rand.R
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R/rand.R
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@ -4,6 +4,7 @@
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#' @param c number of columns of output matrix
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#' @return \eqn{r \times c} matrix with random trials from a standard uniform distribution.
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#' @importFrom stats runif
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#' @export
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rand <- function(r = 1, c = 1) {
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matrix(runif(r * c), r, c)
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}
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@ -3,7 +3,7 @@
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#' @details This function was created to replicate the behavior of a homonymous
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#' function on Matlab
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#' @param mx matrix
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#' @param n either a scalat with the number of replications in both rows and columns or a 2-length vector with individual repetitions.
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#' @param n either a scalar with the number of replications in both rows and columns or a 2-length vector with individual repetitions.
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#' @return matrix replicated over `ncol(mx) * n` columns and `nrow(mx) * n` rows
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#' @note The Matlab implementation of this function accepts `n` with length > 2.
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#' @export
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12
TODO.md
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TODO.md
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@ -25,12 +25,12 @@ The list below contains non-essential but nice-to-have tasks for the next stable
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The following behavioral differences have been detected between the Matlab functions and their R counterparts. In order to save time, these differences will not be addressed, since they could require extensive reworking of a function. However, such differences may very well cause unexpected problems in some situations, which is why compiling this list is so important. The list below might provide a good starting point for identifying and fixing bugs:
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Function | Argument | Value | Matlab output | R output
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---------|----------|-------|---------------|---------
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`ownNum2Str` | `number` | `NaN` | `'NAN'` | error
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`ownNum2Str` | `number` | `<vector>` | `'<vector elements>'` | `'<vector elements>'` + warning
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`repmat` | `length(n)` | `> 2` | > 2D matrix | 2D matrix
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`computeIndLogml` | only one of the arguments is negative | complex number | `NaN`
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| Function | Argument | Value | Matlab output | R output |
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| ----------------- | ------------------ | -------------- | --------------------- | ------------------------------- |
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| `ownNum2Str` | `number` | `NaN` | `'NAN'` | error |
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| `ownNum2Str` | `number` | `<vector>` | `'<vector elements>'` | `'<vector elements>'` + warning |
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| `repmat` | `length(n)` | `> 2` | > 2D matrix | 2D matrix |
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| `computeIndLogml` | some arguments < 0 | complex number | `NaN` |
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As general remarks, one should keep in mind that:
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@ -7,9 +7,9 @@
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computeIndLogml(omaFreqs, osuusTaulu)
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}
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\arguments{
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\item{omaFreqs}{omaFreqs}
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\item{omaFreqs}{own Freqs?}
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\item{osuusTaulu}{osuusTaulu}
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\item{osuusTaulu}{Percentage table?}
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}
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\description{
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Palauttaa yksilön logml:n, kun oletetaan yksilön alkuperät
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@ -7,13 +7,13 @@
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laskeMuutokset4(osuus, osuusTaulu, omaFreqs, logml, COUNTS = matrix(0))
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}
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\arguments{
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\item{osuus}{osuus}
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\item{osuus}{Percentages?}
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\item{osuusTaulu}{osuusTaulu}
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\item{osuusTaulu}{Percentage table?}
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\item{omaFreqs}{omaFreqs}
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\item{omaFreqs}{own Freqs?}
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\item{logml}{logml}
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\item{logml}{log maximum likelihood}
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\item{COUNTS}{COUNTS}
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}
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@ -9,7 +9,7 @@ repmat(mx, n)
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\arguments{
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\item{mx}{matrix}
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\item{n}{either a scalat with the number of replications in both rows and columns or a 2-length vector with individual repetitions.}
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\item{n}{either a scalar with the number of replications in both rows and columns or a 2-length vector with individual repetitions.}
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}
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\value{
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matrix replicated over `ncol(mx) * n` columns and `nrow(mx) * n` rows
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