## All functions

ds.Boole()

Converts a server-side R object into Boolean indicators

ds.abs()

Computes the absolute values of a variable

ds.asCharacter()

Converts a server-side R object into a character class

ds.asDataMatrix()

Converts a server-side R object into a matrix

ds.asFactor()

Converts a server-side numeric vector into a factor

ds.asFactorSimple()

Converts a numeric vector into a factor

ds.asInteger()

Converts a server-side R object into an integer class

ds.asList()

Converts a server-side R object into a list

ds.asLogical()

Converts a server-side R object into a logical class

ds.asMatrix()

Converts a server-side R object into a matrix

ds.asNumeric()

Converts a server-side R object into a numeric class

ds.assign()

Assigns an R object to a name in the server-side

ds.boxPlot()

Draw boxplot

ds.boxPlotGG()

Renders boxplot

ds.boxPlotGG_data_Treatment()

Take a data frame on the server side an arrange it to pass it to the boxplot function

ds.boxPlotGG_data_Treatment_numeric()

Take a vector on the server side an arrange it to pass it to the boxplot function

ds.boxPlotGG_numeric()

Draw boxplot with information from a numeric vector

ds.boxPlotGG_table()

Draw boxplot with information from a data frame

ds.c()

Combines values into a vector or list in the server-side

ds.cbind()

Combines R objects by columns in the server-side

ds.changeRefGroup()

Changes the reference level of a factor in the server-side

ds.class()

Class of the R object in the server-side

ds.colnames()

Produces column names of the R object in the server-side

ds.completeCases()

Identifies complete cases in server-side R objects

ds.contourPlot()

Generates a contour plot

ds.cor()

Calculates the correlation of R objects in the server-side

ds.corTest()

Tests for correlation between paired samples in the server-side

ds.cov()

Calculates the covariance of R objects in the server-side

ds.dataFrame()

Generates a data frame object in the server-side

ds.dataFrameFill()

Creates missing values columns in the server-side

ds.dataFrameSort()

Sorts data frames in the server-side

ds.dataFrameSubset()

Sub-sets data frames in the server-side

ds.densityGrid()

Generates a density grid in the client-side

ds.dim()

Retrieves the dimension of a server-side R object

ds.dmtC2S()

Copy a clientside data.frame, matrix or tibble to the serverside

ds.elspline()

Basis for a piecewise linear spline with meaningful coefficients

ds.exists()

Checks if an object is defined on the server-side

ds.exp()

Computes the exponentials in the server-side

ds.extractQuantiles()

Secure ranking of a vector across all sources and use of these ranks to estimate global quantiles across all studies

ds.forestplot()

Forestplot for SLMA models

ds.getWGSR()

Computes the WHO Growth Reference z-scores of anthropometric data

ds.glm()

Fits Generalized Linear Model

ds.glmPredict()

Applies predict.glm() to a serverside glm object

ds.glmSLMA()

Fit a Generalized Linear Model (GLM) with pooling via Study Level Meta-Analysis (SLMA)

ds.glmSummary()

Summarize a glm object on the serverside

ds.glmerSLMA()

Fits Generalized Linear Mixed-Effect Models via Study-Level Meta-Analysis

ds.heatmapPlot()

Generates a Heat Map plot

ds.hetcor()

Heterogeneous Correlation Matrix

ds.histogram()

Generates a histogram plot

ds.isNA()

Checks if a server-side vector is empty

ds.isValid()

Checks if a server-side object is valid

ds.kurtosis()

Calculates the kurtosis of a numeric variable

ds.length()

Gets the length of an object in the server-side

ds.levels()

Produces levels attributes of a server-side factor

ds.lexis()

Represents follow-up in multiple states on multiple time scales

ds.list()

Constructs a list of objects in the server-side

ds.listClientsideFunctions()

Lists client-side functions

ds.listDisclosureSettings()

Lists disclosure settings

ds.listServersideFunctions()

Lists server-side functions

ds.lmerSLMA()

Fits Linear Mixed-Effect model via Study-Level Meta-Analysis

ds.log()

Computes logarithms in the server-side

ds.look()

Performs direct call to a server-side aggregate function

ds.ls()

lists all objects on a server-side environment

ds.lspline()

Basis for a piecewise linear spline with meaningful coefficients

ds.make()

Calculates a new object in the server-side

ds.matrix()

Creates a matrix on the server-side

ds.matrixDet()

Calculates de determinant of a matrix in the server-side

ds.matrixDet.report()

Returns matrix determinant to the client-side

ds.matrixDiag()

Calculates matrix diagonals in the server-side

ds.matrixDimnames()

Specifies the dimnames of the server-side matrix

ds.matrixInvert()

Inverts a server-side square matrix

ds.matrixMult()

Calculates tow matrix multiplication in the server-side

ds.matrixTranspose()

Transposes a server-side matrix

ds.mean()

Computes server-side vector statistical mean

ds.meanByClass()

Computes the mean and standard deviation across categories

ds.meanSdGp()

Computes the mean and standard deviation across groups defined by one factor

ds.merge()

Merges two data frames in the server-side

ds.message()

Returns server-side messages to the client-side

ds.metadata()

Gets the metadata associated with a variable held on the server

ds.names()

Return the names of a list object

ds.ns()

Generate a Basis Matrix for Natural Cubic Splines

ds.numNA()

Gets the number of missing values in a server-side vector

ds.qlspline()

Basis for a piecewise linear spline with meaningful coefficients

ds.quantileMean()

Computes the quantiles of a server-side variable

ds.rBinom()

Generates Binomial distribution in the server-side

ds.rNorm()

Generates Normal distribution in the server-side

ds.rPois()

Generates Poisson distribution in the server-side

ds.rUnif()

Generates Uniform distribution in the server-side

ds.ranksSecure()

Secure ranking of a vector across all sources

ds.rbind()

Combines R objects by rows in the server-side

ds.reShape()

Reshapes server-side grouped data

ds.recodeLevels()

Recodes the levels of a server-side factor vector

ds.recodeValues()

Recodes server-side variable values

ds.rep()

Creates a repetitive sequence in the server-side

ds.replaceNA()

Replaces the missing values in a server-side vector

ds.rm()

Deletes server-side R objects

ds.rowColCalc()

Computes rows and columns sums and means in the server-side

ds.sample()

Performs random sampling and permuting of vectors, dataframes and matrices

ds.scatterPlot()

Generates non-disclosive scatter plots

ds.seq()

Generates a sequence in the server-side

ds.setSeed()

Server-side random number generation

ds.skewness()

Calculates the skewness of a server-side numeric variable

ds.sqrt()

Computes the square root values of a variable

ds.subset()

Generates a valid subset of a table or a vector

ds.subsetByClass()

Generates valid subset(s) of a data frame or a factor

ds.summary()

Generates the summary of a server-side object

ds.table()

Generates 1-, 2-, and 3-dimensional contingency tables with option of assigning to serverside only and producing chi-squared statistics

ds.table1D()

Generates 1-dimensional contingency tables

ds.table2D()

Generates 2-dimensional contingency tables

ds.tapply()

Applies a Function Over a Server-Side Ragged Array

ds.tapply.assign()

Applies a Function Over a Ragged Array on the server-side

ds.testObjExists()

Checks if an R object exists on the server-side

ds.unList()

Flattens Server-Side Lists

ds.unique()

Perform 'unique' on a variable on the server-side

ds.var()

Computes server-side vector variance

ds.vectorCalc()

Performs a mathematical operation on two or more vectors