Package index • dsBase

All functions
`BooleDS()`	BooleDS
`absDS()`	Computes the absolute values of the input variable
`asCharacterDS()`	Coerces an R object into class character
`asDataMatrixDS()`	asDataMatrixDS a serverside assign function called by ds.asDataMatrix
`asFactorDS1()`	Determines the levels of the input variable in each single study
`asFactorDS2()`	Converts a numeric vector into a factor
`asFactorSimpleDS()`	Converts a numeric vector into a factor
`asIntegerDS()`	Coerces an R object into class integer
`asListDS()`	asListDS a serverside aggregate function called by ds.asList
`asLogicalDS()`	Coerces an R object into class numeric
`asMatrixDS()`	Coerces an R object into a matrix
`asNumericDS()`	Coerces an R object into class numeric
`aucDS()`	aucDS an aggregate function called by ds.auc
`blackBoxDS()`	Secure ranking of "V2BR" (vector to be ranked) across all sources
`blackBoxRanksDS()`	Secure ranking of "V2BR" (vector to be ranked) across all sources
`boxPlotGGDS()`	Create the identity stats and necessary data to draw a plot on the client
`boxPlotGG_data_TreatmentDS()`	Arrange data frame to pass it to the boxplot function
`boxPlotGG_data_Treatment_numericDS()`	Arrange vector to pass it to the boxplot function
`bp_standardsDS()`	Calculates Blood pressure z-scores
`cDS()`	Concatenates objects into a vector or list
`cbindDS()`	cbindDS called by ds.cbind
`changeRefGroupDS()`	Changes a reference level of a factor
`checkNegValueDS()`	Checks if a numeric variable has negative values
`checkPermissivePrivacyControlLevel()`	checkPermissivePrivacyControlLevel
`classDS()`	Returns the class of an object
`colnamesDS()`	Returns the column names of a data frame or matrix
`completeCasesDS()`	completeCasesDS: an assign function called by ds.completeCases
`corDS()`	Computes the sum of each variable and the sum of products for each pair of variables
`corTestDS()`	Tests for correlation between paired samples
`covDS()`	Computes the sum of each variable and the sum of products for each pair of variables
`dataFrameDS()`	dataFrameDS called by ds.dataFrame
`dataFrameFillDS()`	dataFrameFillDS
`dataFrameSortDS()`	Sorting and reordering data frames, vectors or matrices
`dataFrameSubsetDS1()`	dataFrameSubsetDS1 an aggregate function called by ds.dataFrameSubset
`dataFrameSubsetDS2()`	dataFrameSubsetDS2 an assign function called by ds.dataFrameSubset
`densityGridDS()`	Generates a density grid with or without a priori defined limits
`dimDS()`	Returns the dimension of a data frame or matrix
`dmtC2SDS()`	Copy a clientside data.frame, matrix or tibble (DMT) to the serverside.
`elsplineDS()`	Basis for a piecewise linear spline with meaningful coefficients
`extractQuantilesDS1()`	Secure ranking of "V2BR" (vector to be ranked) across all sources and use of these ranks to estimate global quantiles across all studies
`extractQuantilesDS2()`	Secure ranking of "V2BR" (vector to be ranked) across all sources and use of these ranks to estimate global quantiles across all studies
`gamlssDS()`	gamlssDS an aggregate function called by ds.gamlss
`getWGSRDS()`	Computes the WHO Growth Reference z-scores of anthropometric data
`glmDS1()`	glmDS1 called by ds.glm
`glmDS2()`	glmDS2 called by ds.glm
`glmPredictDS.ag()`	predict regression responses from a glm object
`glmPredictDS.as()`	predict regression responses from a glm object
`glmSLMADS.assign()`	Fit a Generalized Linear Model (GLM) with pooling via Study Level Meta-Analysis (SLMA)
`glmSLMADS1()`	Fit a Generalized Linear Model (GLM) with pooling via Study Level Meta-Analysis (SLMA)
`glmSLMADS2()`	Fit a Generalized Linear Model (GLM) with pooling via Study Level Meta-Analysis (SLMA)
`glmSummaryDS.ag()`	summarize a glm object on the serverside
`glmSummaryDS.as()`	summarize a glm object on the serverside
`glmerSLMADS.assign()`	Fitting generalized linear mixed effect models - serverside function
`glmerSLMADS2()`	Fitting generalized linear mixed effect models - serverside function
`heatmapPlotDS()`	Calculates the coordinates of the centroid of each n nearest neighbours
`hetcorDS()`	Heterogeneous Correlation Matrix
`histogramDS1()`	returns the minimum and the maximum of the input numeric vector
`histogramDS2()`	Computes a histogram of the input variable without plotting.
`igb_standardsDS()`	Converts birth measurements to intergrowth z-scores/centiles
`isNaDS()`	Checks if a vector is empty
`isValidDS()`	Checks if an input is valid
`kurtosisDS1()`	Calculates the kurtosis of a numeric variable
`kurtosisDS2()`	Calculates the kurtosis of a numeric variable
`lengthDS()`	Returns the length of a vector or list
`levelsDS()`	Returns the levels of a factor vector
`lexisDS1()`	lexisDS1
`lexisDS2()`	lexisDS2
`lexisDS3()`	@title lexisDS3
`listDS()`	Coerce objects into a list
`listDisclosureSettingsDS()`	listDisclosureSettingsDS
`lmerSLMADS.assign()`	Fitting linear mixed effect models - serverside function
`lmerSLMADS2()`	Fitting linear mixed effect models - serverside function
`lsDS()`	lists all objects on a serverside environment
`lsplineDS()`	Basis for a piecewise linear spline with meaningful coefficients
`matrixDS()`	matrixDS assign function called by ds.matrix
`matrixDetDS1()`	matrixDetDS aggregate function called by ds.matrixDet.report
`matrixDetDS2()`	matrixDetDS assign function called by ds.matrixDet
`matrixDiagDS()`	matrixDiagDS assign function called by ds.matrixDiag
`matrixDimnamesDS()`	matrixDimnamesDS assign function called by ds.matrixDimnames
`matrixInvertDS()`	matrixInvertDS serverside assign function called by ds.matrixInvert
`matrixMultDS()`	matrixMultDS serverside assign function called by ds.matrixMult
`matrixTransposeDS()`	matrixTransposeDS serverside assign function called by ds.matrixTranspose
`meanDS()`	Computes statistical mean of a vector
`meanSdGpDS()`	MeanSdGpDS
`mergeDS()`	mergeDS (assign function) called by ds.merge
`messageDS()`	messageDS
`metadataDS()`	Returns the metadata, if any, about the specified variable
`miceDS()`	Aggregate function called by ds.mice
`minMaxRandDS()`	Secure ranking of "V2BR" (vector to be ranked) across all sources
`namesDS()`	Return the names of a list object
`nsDS()`	Generate a Basis Matrix for Natural Cubic Splines
`numNaDS()`	Counts the number of missing values
`qlsplineDS()`	Basis for a piecewise linear spline with meaningful coefficients
`quantileMeanDS()`	Generates quantiles and mean information without maximum and minimum
`rBinomDS()`	rBinomDS serverside assign function
`rNormDS()`	rNormDS serverside assign function
`rPoisDS()`	rPoisDS serverside assign function
`rUnifDS()`	rUnifDS serverside assign function
`rangeDS()`	returns the minimum and maximum of a numeric vector
`ranksSecureDS1()`	Secure ranking of "V2BR" (vector to be ranked) across all sources
`ranksSecureDS2()`	Secure ranking of "V2BR" (vector to be ranked) across all sources
`ranksSecureDS3()`	Secure ranking of "V2BR" (vector to be ranked) across all sources
`ranksSecureDS4()`	Secure ranking of "V2BR" (vector to be ranked) across all sources
`ranksSecureDS5()`	Secure ranking of "V2BR" (vector to be ranked) across all sources
`rbindDS()`	rbindDS called by ds.rbind
`reShapeDS()`	reShapeDS (assign function) called by ds.reShape
`recodeLevelsDS()`	Recodes the levels of a categorical variables
`recodeValuesDS()`	recodeValuesDS an assign function called by ds.recodeValues
`repDS()`	repDS called by ds.rep
`replaceNaDS()`	Replaces the missing values in a vector
`rmDS()`	rmDS an aggregate function called by ds.rm
`rowColCalcDS()`	Computes sums and means of rows or columns of numeric arrays
`sampleDS()`	random sampling and permuting of vectors, dataframes and matrices
`scatterPlotDS()`	Calculates the coordinates of the data to be plot
`seqDS()`	seqDS a serverside assign function called by ds.seq
`setSeedDS()`	setSeedDs called by ds.setSeed, ds.rNorm, ds.rUnif, ds.rPois and ds.rBinom
`skewnessDS1()`	Calculates the skewness of a numeric variable
`skewnessDS2()`	Calculates the skewness of a numeric variable
`sqrtDS()`	Computes the square root values of the input variable
`subsetByClassDS()`	Breaks down a dataframe or a factor into its sub-classes
`subsetDS()`	Generates a valid subset of a table or a vector
`table1DDS()`	Creates 1-dimensional contingency tables
`table2DDS()`	table2DDS (aggregate function) called by ds.table2D
`tableDS()`	tableDS is the first of two serverside aggregate functions called by ds.table
`tableDS.assign()`	tableDS.assign is the serverside assign function called by ds.table
`tableDS2()`	tableDS is the second of two serverside aggregate functions called by ds.table
`tapplyDS()`	tapplyDS called by ds.tapply
`tapplyDS.assign()`	tapplyDS.assign called by ds.tapply.assign
`testObjExistsDS()`	testObjExistsDS
`unListDS()`	`unListDS` a serverside assign function called by `ds.unList`
`uniqueDS()`	Applies the `unique` method to a server-side variable.
`varDS()`	Computes the variance of vector
`vectorDS()`	Creates a vector on the server-side.

Reference

All functions