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Merge pull request #421 from datashield/v6.3.4-dev
Update with changes to v6.3.4-dev
2 parents 8f85556 + d3e78af commit 2a7d10f

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.github/workflows/dsBase_test_suite.yaml

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on:
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push:
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branches: [master, v6.3.4-dev]
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schedule:
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- cron: '0 0 * * 0' # Weekly
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- cron: '0 1 * * *' # Nightly
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working-directory: dsBase
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- name: Commit results to testStatus
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# if: github.repository == 'villegar/dsBase' && github.event_name != 'pull_request'
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run: |
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git config --global user.email "$GITHUB_ACTOR@users.noreply.github.com"
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git config --global user.name "$GITHUB_ACTOR"
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git config --global user.email "github-actions[bot]@users.noreply.github.com"
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git config --global user.name "github-actions[bot]"
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cd testStatus
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git checkout master
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git pull

DESCRIPTION

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been designed to only share non disclosive summary statistics, with built in automated output
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checking based on statistical disclosure control. With data sites setting the threshold values for
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the automated output checks. For more details, see 'citation("dsBase")'.
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Version: 6.3.4-9000
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Version: 6.3.4
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Authors@R: c(person(given = "Paul",
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family = "Burton",
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role = c("aut"),
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mice,
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childsds
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Suggests:
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spelling,
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testthat
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RoxygenNote: 7.3.2
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Encoding: UTF-8
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Language: en-GB

R/asDataMatrixDS.R

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#' class for all columns in data.frames.
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#' @details This assign function is based on the native R function \code{data.matrix}
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#' If applied to a data.frame, the native R function \code{as.matrix}
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#' coverts all columns into character class. In contrast, if applied to
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#' converts all columns into character class. In contrast, if applied to
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#' a data.frame the native R function \code{data.matrix} converts
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#' the data.frame to a matrix but maintains all data columns in their
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#' original class

R/checkNegValueDS.R

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#'
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#' @title Checks if a numeric variable has negative values
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#' @description this function is only called by the client function \code{ds.glm}.
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#' @details if a user sets the parameter 'weights' on the client site function \code{ds.glm} this
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#' @details if a user sets the parameter 'weights' on the client side function \code{ds.glm} this
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#' server side function is called to verify that the 'weights' vector does not have negative values
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#' because no negative are allowed in weights.
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#' @param weights a numeric vector

R/densityGridDS.R

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#'
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#' @title Generates a density grid with or without a priori defined limits
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#' @description Generates a density grid that can then be used for heatmap or countour plots.
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#' @description Generates a density grid that can then be used for heatmap or contour plots.
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#' @details Invalid cells (cells with count < to the set filter value for the minimum allowed
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#' counts in table cells) are turn to 0.
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#' @param xvect a numerical vector

R/dmtC2SDS.R

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#' @param ncols.transmit specifies the number of columns in the matrix to be created.
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#' Fixed by the clientside function as equal to the number of columns in
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#' the clientside DMT to be transferred.
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#' @param colnames.transmit a parser-transmissable vector specifying the name of each column
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#' @param colnames.transmit a parser-transmissible vector specifying the name of each column
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#' in the DMT being transferred from clientside to serverside.
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#' Generated automatically by clientside function from colnames of clientside DMT.
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#' @param colclass.transmit a parser-transmissable vector specifying the class of the
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#' @param colclass.transmit a parser-transmissible vector specifying the class of the
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#' vector representing each individual column in the DMT to be transferred.
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#' Generated automatically by clientside function. This allows the transmission of DMTs
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#' containing columns with different classes.If something is going to go wrong with

R/dsBase-package.R

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#' @keywords internal
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"_PACKAGE"
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## usethis namespace: start
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## usethis namespace: end
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NULL

R/gamlssDS.R

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#'
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#' @title gamlssDS an aggregate function called by ds.galmss
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#' @title gamlssDS an aggregate function called by ds.gamlss
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#' @description This function calls the gamlssDS that is a wrapper function from
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#' the gamlss R package. The function returns an object of class "gamlss", which
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#' is a generalized additive model for location, scale and shape (GAMLSS). The

R/glmerSLMADS.assign.R

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#' The analytic work engine is the glmer function in R which sits in the lme4 package.
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#' glmerSLMADS.assign fits a generalized linear mixed effects model (glme) - e.g. a logistic or
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#' Poisson regression model including both fixed and random effects - on data
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#' from each single data source and saves the regression outcomes on the serveside.
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#' from each single data source and saves the regression outcomes on the serverside.
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#' @param formula see help for ds.glmerSLMA
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#' @param offset see help for ds.glmerSLMA
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#' @param weights see help for ds.glmerSLMA

R/hetcorDS.R

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#'
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#' @title Heterogeneous Correlation Matrix
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#' @description This function is based on the hetcor function from the R package \code{polycor}.
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#' @details Computes a heterogenous correlation matrix, consisting of Pearson product-moment
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#' @details Computes a heterogeneous correlation matrix, consisting of Pearson product-moment
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#' correlations between numeric variables, polyserial correlations between numeric and ordinal
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#' variables, and polychoric correlations between ordinal variables.
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#' @param data the name of a data frame consisting of factors, ordered factors, logical variables,

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