### dsBase Installation command: # Install dsBase package (server side) library(opaladmin) o<-opal.login(...) dsadmin.install_package(o, 'dsBase') Functions: * [BooleDS](BooleDS.html) BooleDS * [absDS](absDS.html) Computes the absolute values of the input variable * [asCharacterDS](asCharacterDS.html) Coerces an R object into class character * [asDataMatrixDS](asDataMatrixDS.html) asDataMatrixDS a serverside assign function called by ds.asDataMatrix * [asFactorDS1](asFactorDS1.html) Determines the levels of the input variable in each single study * [asFactorDS2](asFactorDS2.html) Converts a numeric vector into a factor * [asFactorSimpleDS](asFactorSimpleDS.html) Converts a numeric vector into a factor * [asIntegerDS](asIntegerDS.html) Coerces an R object into class integer * [asListDS](asListDS.html) asListDS a serverside aggregate function called by ds.asList * [asLogicalDS](asLogicalDS.html) Coerces an R object into class numeric * [asMatrixDS](asMatrixDS.html) Coerces an R object into a matrix * [asNumericDS](asNumericDS.html) Coerces an R object into class numeric * [aucDS](aucDS.html) aucDS an aggregate function called by ds.auc * [blackBoxDS](blackBoxDS.html) Secure ranking of "V2BR" (vector to be ranked) across all sources * [blackBoxRanksDS](blackBoxRanksDS.html) Secure ranking of "V2BR" (vector to be ranked) across all sources * [boxPlotGGDS](boxPlotGGDS.html) Create the identity stats and necessary data to draw a plot on the client * [boxPlotGG_data_TreatmentDS](boxPlotGG_data_TreatmentDS.html) Arrange data frame to pass it to the boxplot function * [boxPlotGG_data_Treatment_numericDS](boxPlotGG_data_Treatment_numericDS.html) Arrange vector to pass it to the boxplot function * [bp_standardsDS](bp_standardsDS.html) Calculates Blood pressure z-scores * [cDS](cDS.html) Concatenates objects into a vector or list * [cbindDS](cbindDS.html) cbindDS called by ds.cbind * [changeRefGroupDS](changeRefGroupDS.html) Changes a reference level of a factor * [checkNegValueDS](checkNegValueDS.html) Checks if a numeric variable has negative values * [checkPermissivePrivacyControlLevel](checkPermissivePrivacyControlLevel.html) checkPermissivePrivacyControlLevel * [classDS](classDS.html) Returns the class of an object * [colnamesDS](colnamesDS.html) Returns the column names of a data frame or matrix * [completeCasesDS](completeCasesDS.html) completeCasesDS: an assign function called by ds.completeCases * [corDS](corDS.html) Computes the sum of each variable and the sum of products for each pair of variables * [corTestDS](corTestDS.html) Tests for correlation between paired samples * [covDS](covDS.html) Computes the sum of each variable and the sum of products for each pair of variables * [dataFrameDS](dataFrameDS.html) dataFrameDS called by ds.dataFrame * [dataFrameFillDS](dataFrameFillDS.html) dataFrameFillDS * [dataFrameSortDS](dataFrameSortDS.html) Sorting and reordering data frames, vectors or matrices * [dataFrameSubsetDS1](dataFrameSubsetDS1.html) dataFrameSubsetDS1 an aggregate function called by ds.dataFrameSubset * [dataFrameSubsetDS2](dataFrameSubsetDS2.html) dataFrameSubsetDS2 an assign function called by ds.dataFrameSubset * [densityGridDS](densityGridDS.html) Generates a density grid with or without a priori defined limits * [dimDS](dimDS.html) Returns the dimension of a data frame or matrix * [dmtC2SDS](dmtC2SDS.html) Copy a clientside data.frame, matrix or tibble (DMT) to the serverside. * [elsplineDS](elsplineDS.html) Basis for a piecewise linear spline with meaningful coefficients * [extract](extract.html) Splits character by '$' and returns the single characters * [extractQuantilesDS1](extractQuantilesDS1.html) Secure ranking of "V2BR" (vector to be ranked) across all sources and use of these ranks to estimate global quantiles across all studies * [extractQuantilesDS2](extractQuantilesDS2.html) 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.html) gamlssDS an aggregate function called by ds.galmss * [getWGSRDS](getWGSRDS.html) Computes the WHO Growth Reference z-scores of anthropometric data * [glmDS1](glmDS1.html) glmDS1 called by ds.glm * [glmDS2](glmDS2.html) glmDS2 called by ds.glm * [glmPredictDS.ag](glmPredictDS.ag.html) predict regression responses from a glm object * [glmPredictDS.as](glmPredictDS.as.html) predict regression responses from a glm object * [glmSLMADS.assign](glmSLMADS.assign.html) Fit a Generalized Linear Model (GLM) with pooling via Study Level Meta-Analysis (SLMA) * [glmSLMADS1](glmSLMADS1.html) Fit a Generalized Linear Model (GLM) with pooling via Study Level Meta-Analysis (SLMA) * [glmSLMADS2](glmSLMADS2.html) Fit a Generalized Linear Model (GLM) with pooling via Study Level Meta-Analysis (SLMA) * [glmSummaryDS.ag](glmSummaryDS.ag.html) summarize a glm object on the serverside * [glmSummaryDS.as](glmSummaryDS.as.html) summarize a glm object on the serverside * [glmerSLMADS.assign](glmerSLMADS.assign.html) Fitting generalized linear mixed effect models - serverside function * [glmerSLMADS2](glmerSLMADS2.html) Fitting generalized linear mixed effect models - serverside function * [heatmapPlotDS](heatmapPlotDS.html) Calculates the coordinates of the centroid of each n nearest neighbours * [hetcorDS](hetcorDS.html) Heterogeneous Correlation Matrix * [histogramDS1](histogramDS1.html) returns the minimum and the maximum of the input numeric vector * [histogramDS2](histogramDS2.html) Computes a histogram of the input variable without plotting. * [igb_standardsDS](igb_standardsDS.html) Converts birth measurements to intergrowth z-scores/centiles * [isNaDS](isNaDS.html) Checks if a vector is empty * [isValidDS](isValidDS.html) Checks if an input is valid * [kurtosisDS1](kurtosisDS1.html) Calculates the kurtosis of a numeric variable * [kurtosisDS2](kurtosisDS2.html) Calculates the kurtosis of a numeric variable * [lengthDS](lengthDS.html) Returns the length of a vector or list * [levelsDS](levelsDS.html) Returns the levels of a factor vector * [lexisDS1](lexisDS1.html) lexisDS1 * [lexisDS2](lexisDS2.html) lexisDS2 * [lexisDS3](lexisDS3.html) @title lexisDS3 * [listDS](listDS.html) Coerce objects into a list * [listDisclosureSettingsDS](listDisclosureSettingsDS.html) listDisclosureSettingsDS * [lmerSLMADS.assign](lmerSLMADS.assign.html) Fitting linear mixed effect models - serverside function * [lmerSLMADS2](lmerSLMADS2.html) Fitting linear mixed effect models - serverside function * [lsDS](lsDS.html) lists all objects on a serverside environment * [lsplineDS](lsplineDS.html) Basis for a piecewise linear spline with meaningful coefficients * [matrixDS](matrixDS.html) matrixDS assign function called by ds.matrix * [matrixDetDS1](matrixDetDS1.html) matrixDetDS aggregate function called by ds.matrixDet.report * [matrixDetDS2](matrixDetDS2.html) matrixDetDS assign function called by ds.matrixDet * [matrixDiagDS](matrixDiagDS.html) matrixDiagDS assign function called by ds.matrixDiag * [matrixDimnamesDS](matrixDimnamesDS.html) matrixDimnamesDS assign function called by ds.matrixDimnames * [matrixInvertDS](matrixInvertDS.html) matrixInvertDS serverside assign function called by ds.matrixInvert * [matrixMultDS](matrixMultDS.html) matrixMultDS serverside assign function called by ds.matrixMult * [matrixTransposeDS](matrixTransposeDS.html) matrixTransposeDS serverside assign function called by ds.matrixTranspose * [meanDS](meanDS.html) Computes statistical mean of a vectores * [meanSdGpDS](meanSdGpDS.html) MeanSdGpDS * [mergeDS](mergeDS.html) mergeDS (assign function) called by ds.merge * [messageDS](messageDS.html) messageDS * [metadataDS](metadataDS.html) Returns the metadata, if any, about the specified variable * [miceDS](miceDS.html) Aggregate function called by ds.mice * [minMaxRandDS](minMaxRandDS.html) Secure ranking of "V2BR" (vector to be ranked) across all sources * [namesDS](namesDS.html) Return the names of a list object * [nsDS](nsDS.html) Generate a Basis Matrix for Natural Cubic Splines * [numNaDS](numNaDS.html) Counts the number of missing values * [qlsplineDS](qlsplineDS.html) Basis for a piecewise linear spline with meaningful coefficients * [quantileMeanDS](quantileMeanDS.html) Generates quantiles and mean information without maximum and minimum * [rBinomDS](rBinomDS.html) rBinomDS serverside assign function * [rNormDS](rNormDS.html) rNormDS serverside assign function * [rPoisDS](rPoisDS.html) rPoisDS serverside assign function * [rUnifDS](rUnifDS.html) rUnifDS serverside assign function * [rangeDS](rangeDS.html) returns the minimum and maximum of a numeric vector * [ranksSecureDS1](ranksSecureDS1.html) Secure ranking of "V2BR" (vector to be ranked) across all sources * [ranksSecureDS2](ranksSecureDS2.html) Secure ranking of "V2BR" (vector to be ranked) across all sources * [ranksSecureDS3](ranksSecureDS3.html) Secure ranking of "V2BR" (vector to be ranked) across all sources * [ranksSecureDS4](ranksSecureDS4.html) Secure ranking of "V2BR" (vector to be ranked) across all sources * [ranksSecureDS5](ranksSecureDS5.html) Secure ranking of "V2BR" (vector to be ranked) across all sources * [rbindDS](rbindDS.html) rbindDS called by ds.rbind * [reShapeDS](reShapeDS.html) reShapeDS (assign function) called by ds.reShape * [recodeLevelsDS](recodeLevelsDS.html) Recodes the levels of a categorical variables * [recodeValuesDS](recodeValuesDS.html) recodeValuesDS an assign function called by ds.recodeValues * [repDS](repDS.html) repDS called by ds.rep * [replaceNaDS](replaceNaDS.html) Replaces the missing values in a vector * [rmDS](rmDS.html) rmDS an aggregate function called by ds.rm * [rowColCalcDS](rowColCalcDS.html) Computes sums and means of rows or columns of numeric arrays * [sampleDS](sampleDS.html) random sampling and permuting of vectors, dataframes and matrices * [scatterPlotDS](scatterPlotDS.html) Calculates the coordinates of the data to be plot * [seqDS](seqDS.html) seqDS a serverside assign function called by ds.seq * [setFilterDS](setFilterDS.html) Sets the privacy level * [setSeedDS](setSeedDS.html) setSeedDs called by ds.setSeed, ds.rNorm, ds.rUnif, ds.rPois and ds.rBinom * [skewnessDS1](skewnessDS1.html) Calculates the skewness of a numeric variable * [skewnessDS2](skewnessDS2.html) Calculates the skewness of a numeric variable * [sqrtDS](sqrtDS.html) Computes the square root values of the input variable * [subsetByClassDS](subsetByClassDS.html) Breaks down a dataframe or a factor into its sub-classes * [subsetByClassHelper1](subsetByClassHelper1.html) generates subsets vectors from a factor vector * [subsetByClassHelper2](subsetByClassHelper2.html) generates subset tables from a data frame * [subsetByClassHelper3](subsetByClassHelper3.html) generates subset tables from a data frame * [subsetDS](subsetDS.html) Generates a valid subset of a table or a vector * [table1DDS](table1DDS.html) Creates 1-dimensional contingency tables * [table2DDS](table2DDS.html) table2DDS (aggregate function) called by ds.table2D * [tableDS](tableDS.html) tableDS is the first of two serverside aggregate functions called by ds.table * [tableDS.assign](tableDS.assign.html) tableDS.assign is the serverside assign function called by ds.table * [tableDS2](tableDS2.html) tableDS is the second of two serverside aggregate functions called by ds.table * [tapplyDS](tapplyDS.html) tapplyDS called by ds.tapply * [tapplyDS.assign](tapplyDS.assign.html) tapplyDS.assign called by ds.tapply.assign * [testObjExistsDS](testObjExistsDS.html) testObjExistsDS * [unListDS](unListDS.html) unListDS a serverside assign function called by ds.unList * [uniqueDS](uniqueDS.html) Applies the 'unique' method to a server-side variable. * [varDS](varDS.html) Computes the variance of vector * [vectorDS](vectorDS.html) Creates a vector on the server-side. Sources: * [DESCRIPTION](https://raw.github.com/datashield/dsBase/6.3.0/DESCRIPTION) * [dsBase 6.3.0](https://github.com/datashield/dsBase/tree/6.3.0)