--- layout: page title: Packages Documentation tagline: DataSHIELD Packages Documentation --- ## Overview * [Client Packages](#client-packages) * [Server Packages](#server-packages) ## Client Packages ### dsBaseClient Installation command: # Install dsBaseClient package (client side) install.packages('dsBaseClient', repos=c(getOption('repos'), 'http://cran.obiba.org'), dependencies=TRUE) Functions: * [checkClass](dsBaseClient/checkClass.html) Checks that an object has the same class in all studies * [colPercent](dsBaseClient/colPercent.html) Produces column percentages * [ds.Boole](dsBaseClient/ds.Boole.html) Converts a server-side R object into Boolean indicators * [ds.abs](dsBaseClient/ds.abs.html) Computes the absolute values of a variable * [ds.asCharacter](dsBaseClient/ds.asCharacter.html) Converts a server-side R object into a character class * [ds.asDataMatrix](dsBaseClient/ds.asDataMatrix.html) Converts a server-side R object into a matrix * [ds.asFactor](dsBaseClient/ds.asFactor.html) Converts a server-side numeric vector into a factor * [ds.asFactorSimple](dsBaseClient/ds.asFactorSimple.html) Converts a numeric vector into a factor * [ds.asInteger](dsBaseClient/ds.asInteger.html) Converts a server-side R object into an integer class * [ds.asList](dsBaseClient/ds.asList.html) Converts a server-side R object into a list * [ds.asLogical](dsBaseClient/ds.asLogical.html) Converts a server-side R object into a logical class * [ds.asMatrix](dsBaseClient/ds.asMatrix.html) Converts a server-side R object into a matrix * [ds.asNumeric](dsBaseClient/ds.asNumeric.html) Converts a server-side R object into a numeric class * [ds.assign](dsBaseClient/ds.assign.html) Assigns an R object to a name in the server-side * [ds.auc](dsBaseClient/ds.auc.html) Calculates the Area under the curve (AUC) * [ds.boxPlot](dsBaseClient/ds.boxPlot.html) Draw boxplot * [ds.boxPlotGG](dsBaseClient/ds.boxPlotGG.html) Renders boxplot * [ds.boxPlotGG_data_Treatment](dsBaseClient/ds.boxPlotGG_data_Treatment.html) Take a data frame on the server side an arrange it to pass it to the boxplot function * [ds.boxPlotGG_data_Treatment_numeric](dsBaseClient/ds.boxPlotGG_data_Treatment_numeric.html) Take a vector on the server side an arrange it to pass it to the boxplot function * [ds.boxPlotGG_numeric](dsBaseClient/ds.boxPlotGG_numeric.html) Draw boxplot with information from a numeric vector * [ds.boxPlotGG_table](dsBaseClient/ds.boxPlotGG_table.html) Draw boxplot with information from a data frame * [ds.bp_standards](dsBaseClient/ds.bp_standards.html) Calculates Blood pressure z-scores * [ds.c](dsBaseClient/ds.c.html) Combines values into a vector or list in the server-side * [ds.cbind](dsBaseClient/ds.cbind.html) Combines R objects by columns in the server-side * [ds.changeRefGroup](dsBaseClient/ds.changeRefGroup.html) Changes the reference level of a factor in the server-side * [ds.class](dsBaseClient/ds.class.html) Class of the R object in the server-side * [ds.colnames](dsBaseClient/ds.colnames.html) Produces column names of the R object in the server-side * [ds.completeCases](dsBaseClient/ds.completeCases.html) Identifies complete cases in server-side R objects * [ds.contourPlot](dsBaseClient/ds.contourPlot.html) Generates a contour plot * [ds.cor](dsBaseClient/ds.cor.html) Calculates the correlation of R objects in the server-side * [ds.corTest](dsBaseClient/ds.corTest.html) Tests for correlation between paired samples in the server-side * [ds.cov](dsBaseClient/ds.cov.html) Calculates the covariance of R objects in the server-side * [ds.dataFrame](dsBaseClient/ds.dataFrame.html) Generates a data frame object in the server-side * [ds.dataFrameFill](dsBaseClient/ds.dataFrameFill.html) Creates missing values columns in the server-side * [ds.dataFrameSort](dsBaseClient/ds.dataFrameSort.html) Sorts data frames in the server-side * [ds.dataFrameSubset](dsBaseClient/ds.dataFrameSubset.html) Sub-sets data frames in the server-side * [ds.densityGrid](dsBaseClient/ds.densityGrid.html) Generates a density grid in the client-side * [ds.dim](dsBaseClient/ds.dim.html) Retrieves the dimension of a server-side R object * [ds.dmtC2S](dsBaseClient/ds.dmtC2S.html) Copy a clientside data.frame, matrix or tibble to the serverside * [ds.elspline](dsBaseClient/ds.elspline.html) Basis for a piecewise linear spline with meaningful coefficients * [ds.exists](dsBaseClient/ds.exists.html) Checks if an object is defined on the server-side * [ds.exp](dsBaseClient/ds.exp.html) Computes the exponentials in the server-side * [ds.extractQuantiles](dsBaseClient/ds.extractQuantiles.html) Secure ranking of a vector across all sources and use of these ranks to estimate global quantiles across all studies * [ds.forestplot](dsBaseClient/ds.forestplot.html) Forestplot for SLMA models * [ds.gamlss](dsBaseClient/ds.gamlss.html) Generalized Additive Models for Location Scale and Shape * [ds.getWGSR](dsBaseClient/ds.getWGSR.html) Computes the WHO Growth Reference z-scores of anthropometric data * [ds.glm](dsBaseClient/ds.glm.html) Fits Generalized Linear Model * [ds.glmPredict](dsBaseClient/ds.glmPredict.html) Applies predict.glm() to a serverside glm object * [ds.glmSLMA](dsBaseClient/ds.glmSLMA.html) Fit a Generalized Linear Model (GLM) with pooling via Study Level Meta-Analysis (SLMA) * [ds.glmSummary](dsBaseClient/ds.glmSummary.html) Summarize a glm object on the serverside * [ds.glmerSLMA](dsBaseClient/ds.glmerSLMA.html) Fits Generalized Linear Mixed-Effect Models via Study-Level Meta-Analysis * [ds.heatmapPlot](dsBaseClient/ds.heatmapPlot.html) Generates a Heat Map plot * [ds.hetcor](dsBaseClient/ds.hetcor.html) Heterogeneous Correlation Matrix * [ds.histogram](dsBaseClient/ds.histogram.html) Generates a histogram plot * [ds.igb_standards](dsBaseClient/ds.igb_standards.html) Converts birth measurements to intergrowth z-scores/centiles * [ds.isNA](dsBaseClient/ds.isNA.html) Checks if a server-side vector is empty * [ds.isValid](dsBaseClient/ds.isValid.html) Checks if a server-side object is valid * [ds.kurtosis](dsBaseClient/ds.kurtosis.html) Calculates the kurtosis of a numeric variable * [ds.length](dsBaseClient/ds.length.html) Gets the length of an object in the server-side * [ds.levels](dsBaseClient/ds.levels.html) Produces levels attributes of a server-side factor * [ds.lexis](dsBaseClient/ds.lexis.html) Represents follow-up in multiple states on multiple time scales * [ds.list](dsBaseClient/ds.list.html) Constructs a list of objects in the server-side * [ds.listClientsideFunctions](dsBaseClient/ds.listClientsideFunctions.html) Lists client-side functions * [ds.listDisclosureSettings](dsBaseClient/ds.listDisclosureSettings.html) Lists disclosure settings * [ds.listOpals](dsBaseClient/ds.listOpals.html) Lists all Opal objects in the analytic environment * [ds.listServersideFunctions](dsBaseClient/ds.listServersideFunctions.html) Lists server-side functions * [ds.lmerSLMA](dsBaseClient/ds.lmerSLMA.html) Fits Linear Mixed-Effect model via Study-Level Meta-Analysis * [ds.log](dsBaseClient/ds.log.html) Computes logarithms in the server-side * [ds.look](dsBaseClient/ds.look.html) Performs direct call to a server-side aggregate function * [ds.ls](dsBaseClient/ds.ls.html) lists all objects on a server-side environment * [ds.lspline](dsBaseClient/ds.lspline.html) Basis for a piecewise linear spline with meaningful coefficients * [ds.make](dsBaseClient/ds.make.html) Calculates a new object in the server-side * [ds.matrix](dsBaseClient/ds.matrix.html) Creates a matrix on the server-side * [ds.matrixDet](dsBaseClient/ds.matrixDet.html) Calculates de determinant of a matrix in the server-side * [ds.matrixDet.report](dsBaseClient/ds.matrixDet.report.html) Returns matrix determinant to the client-side * [ds.matrixDiag](dsBaseClient/ds.matrixDiag.html) Calculates matrix diagonals in the server-side * [ds.matrixDimnames](dsBaseClient/ds.matrixDimnames.html) Specifies the dimnames of the server-side matrix * [ds.matrixInvert](dsBaseClient/ds.matrixInvert.html) Inverts a server-side square matrix * [ds.matrixMult](dsBaseClient/ds.matrixMult.html) Calculates tow matrix multiplication in the server-side * [ds.matrixTranspose](dsBaseClient/ds.matrixTranspose.html) Transposes a server-side matrix * [ds.mean](dsBaseClient/ds.mean.html) Computes server-side vector statistical mean * [ds.meanByClass](dsBaseClient/ds.meanByClass.html) Computes the mean and standard deviation across categories * [ds.meanSdGp](dsBaseClient/ds.meanSdGp.html) Computes the mean and standard deviation across groups defined by one factor * [ds.merge](dsBaseClient/ds.merge.html) Merges two data frames in the server-side * [ds.message](dsBaseClient/ds.message.html) Returns server-side messages to the client-side * [ds.metadata](dsBaseClient/ds.metadata.html) Gets the metadata associated with a variable held on the server * [ds.mice](dsBaseClient/ds.mice.html) Multivariate Imputation by Chained Equations * [ds.names](dsBaseClient/ds.names.html) Return the names of a list object * [ds.ns](dsBaseClient/ds.ns.html) Generate a Basis Matrix for Natural Cubic Splines * [ds.numNA](dsBaseClient/ds.numNA.html) Gets the number of missing values in a server-side vector * [ds.qlspline](dsBaseClient/ds.qlspline.html) Basis for a piecewise linear spline with meaningful coefficients * [ds.quantileMean](dsBaseClient/ds.quantileMean.html) Computes the quantiles of a server-side variable * [ds.rBinom](dsBaseClient/ds.rBinom.html) Generates Binomial distribution in the server-side * [ds.rNorm](dsBaseClient/ds.rNorm.html) Generates Normal distribution in the server-side * [ds.rPois](dsBaseClient/ds.rPois.html) Generates Poisson distribution in the server-side * [ds.rUnif](dsBaseClient/ds.rUnif.html) Generates Uniform distribution in the server-side * [ds.ranksSecure](dsBaseClient/ds.ranksSecure.html) Secure ranking of a vector across all sources * [ds.rbind](dsBaseClient/ds.rbind.html) Combines R objects by rows in the server-side * [ds.reShape](dsBaseClient/ds.reShape.html) Reshapes server-side grouped data * [ds.recodeLevels](dsBaseClient/ds.recodeLevels.html) Recodes the levels of a server-side factor vector * [ds.recodeValues](dsBaseClient/ds.recodeValues.html) Recodes server-side variable values * [ds.rep](dsBaseClient/ds.rep.html) Creates a repetitive sequence in the server-side * [ds.replaceNA](dsBaseClient/ds.replaceNA.html) Replaces the missing values in a server-side vector * [ds.rm](dsBaseClient/ds.rm.html) Deletes server-side R objects * [ds.rowColCalc](dsBaseClient/ds.rowColCalc.html) Computes rows and columns sums and means in the server-side * [ds.sample](dsBaseClient/ds.sample.html) Performs random sampling and permuting of vectors, dataframes and matrices * [ds.scatterPlot](dsBaseClient/ds.scatterPlot.html) Generates non-disclosive scatter plots * [ds.seq](dsBaseClient/ds.seq.html) Generates a sequence in the server-side * [ds.setDefaultOpals](dsBaseClient/ds.setDefaultOpals.html) Creates a default set of Opal objects called 'default.opals' * [ds.setSeed](dsBaseClient/ds.setSeed.html) Server-side random number generation * [ds.skewness](dsBaseClient/ds.skewness.html) Calculates the skewness of a server-side numeric variable * [ds.sqrt](dsBaseClient/ds.sqrt.html) Computes the square root values of a variable * [ds.subset](dsBaseClient/ds.subset.html) Generates a valid subset of a table or a vector * [ds.subsetByClass](dsBaseClient/ds.subsetByClass.html) Generates valid subset(s) of a data frame or a factor * [ds.summary](dsBaseClient/ds.summary.html) Generates the summary of a server-side object * [ds.table](dsBaseClient/ds.table.html) Generates 1-, 2-, and 3-dimensional contingency tables with option of assigning to serverside only and producing chi-squared statistics * [ds.table1D](dsBaseClient/ds.table1D.html) Generates 1-dimensional contingency tables * [ds.table2D](dsBaseClient/ds.table2D.html) Generates 2-dimensional contingency tables * [ds.tapply](dsBaseClient/ds.tapply.html) Applies a Function Over a Server-Side Ragged Array * [ds.tapply.assign](dsBaseClient/ds.tapply.assign.html) Applies a Function Over a Ragged Array on the server-side * [ds.testObjExists](dsBaseClient/ds.testObjExists.html) Checks if an R object exists on the server-side * [ds.unList](dsBaseClient/ds.unList.html) Flattens Server-Side Lists * [ds.unique](dsBaseClient/ds.unique.html) Perform 'unique' on a variable on the server-side * [ds.var](dsBaseClient/ds.var.html) Computes server-side vector variance * [ds.vectorCalc](dsBaseClient/ds.vectorCalc.html) Performs a mathematical operation on two or more vectors * [extract](dsBaseClient/extract.html) Splits character by '$' and returns the single characters * [getPooledMean](dsBaseClient/getPooledMean.html) Gets a pooled statistical mean * [getPooledVar](dsBaseClient/getPooledVar.html) Gets a pooled variance * [glmChecks](dsBaseClient/glmChecks.html) Checks if the elements in the glm model have the right characteristics * [isAssigned](dsBaseClient/isAssigned.html) Checks an object has been generated on the server side * [isDefined](dsBaseClient/isDefined.html) Checks if the objects are defined in all studies * [logical2int](dsBaseClient/logical2int.html) Turns a logical operator into an integer * [meanByClassHelper0a](dsBaseClient/meanByClassHelper0a.html) Computes the mean values of a numeric vector across a factor vector * [meanByClassHelper0b](dsBaseClient/meanByClassHelper0b.html) Runs the computation if variables are within a table structure * [meanByClassHelper1](dsBaseClient/meanByClassHelper1.html) Generates subset tables * [meanByClassHelper2](dsBaseClient/meanByClassHelper2.html) Generates a table for pooled results * [meanByClassHelper3](dsBaseClient/meanByClassHelper3.html) Generates results tables for each study separately * [meanByClassHelper4](dsBaseClient/meanByClassHelper4.html) Gets the subset tables out of the list (i.e. unlist) * [rowPercent](dsBaseClient/rowPercent.html) Produces row percentages * [subsetHelper](dsBaseClient/subsetHelper.html) Ensures that the requested subset is not larger than the original object Sources: * [DESCRIPTION](https://raw.github.com/datashield/dsBaseClient/6.3.0/DESCRIPTION) * [dsBaseClient 6.3.0](https://github.com/datashield/dsBaseClient/tree/6.3.0) ### dsDangerClient Installation command: # Install dsDangerClient package (client side) install.packages('dsDangerClient', repos=c(getOption('repos'), 'http://cran.obiba.org'), dependencies=TRUE) Functions: * [ds.DANGERc2sMATDF](dsDangerClient/ds.DANGERc2sMATDF.html) DANGER FUNCTION copying clientside matrix to serverside * [ds.DANGERdfEXTRACT](dsDangerClient/ds.DANGERdfEXTRACT.html) DANGER function returning data.frame (df) from processing servers to clientside - *** DEPRECATED BY ds.DANGERdmtEXTRACT *** * [ds.DANGERdmtEXTRACT](dsDangerClient/ds.DANGERdmtEXTRACT.html) DANGER function returning data.frame, Matrix or tibble (DMT) from processing servers to clientside * [ds.DANGERlistcode](dsDangerClient/ds.DANGERlistcode.html) list the code for a function * [ds.DANGERpassPARSER](dsDangerClient/ds.DANGERpassPARSER.html) determines how a given R object or character string is managed by the DataSHIELD parser * [ds.DANGERplot](dsDangerClient/ds.DANGERplot.html) DANGER function * [ds.DANGERprint](dsDangerClient/ds.DANGERprint.html) DANGER function * [ds.DANGERsearch](dsDangerClient/ds.DANGERsearch.html) lists all R environments on serverside * [ds.DANGERseedEXTRACT](dsDangerClient/ds.DANGERseedEXTRACT.html) ds.DANGERseedEXTRACT * [ds.DANGERvarsEXTRACT](dsDangerClient/ds.DANGERvarsEXTRACT.html) ds.DANGERvarsEXTRACT Sources: * [DESCRIPTION](https://raw.github.com/datashield/dsDangerClient/6.2.0/DESCRIPTION) * [dsDangerClient 6.2.0](https://github.com/datashield/dsDangerClient/tree/6.2.0) ## Server Packages ### dsBase Installation command: # Install dsBase package (server side) library(opaladmin) o<-opal.login(...) dsadmin.install_package(o, 'dsBase') Functions: * [BooleDS](dsBase/BooleDS.html) BooleDS * [absDS](dsBase/absDS.html) Computes the absolute values of the input variable * [asCharacterDS](dsBase/asCharacterDS.html) Coerces an R object into class character * [asDataMatrixDS](dsBase/asDataMatrixDS.html) asDataMatrixDS a serverside assign function called by ds.asDataMatrix * [asFactorDS1](dsBase/asFactorDS1.html) Determines the levels of the input variable in each single study * [asFactorDS2](dsBase/asFactorDS2.html) Converts a numeric vector into a factor * [asFactorSimpleDS](dsBase/asFactorSimpleDS.html) Converts a numeric vector into a factor * [asIntegerDS](dsBase/asIntegerDS.html) Coerces an R object into class integer * [asListDS](dsBase/asListDS.html) asListDS a serverside aggregate function called by ds.asList * [asLogicalDS](dsBase/asLogicalDS.html) Coerces an R object into class numeric * [asMatrixDS](dsBase/asMatrixDS.html) Coerces an R object into a matrix * [asNumericDS](dsBase/asNumericDS.html) Coerces an R object into class numeric * [aucDS](dsBase/aucDS.html) aucDS an aggregate function called by ds.auc * [blackBoxDS](dsBase/blackBoxDS.html) Secure ranking of "V2BR" (vector to be ranked) across all sources * [blackBoxRanksDS](dsBase/blackBoxRanksDS.html) Secure ranking of "V2BR" (vector to be ranked) across all sources * [boxPlotGGDS](dsBase/boxPlotGGDS.html) Create the identity stats and necessary data to draw a plot on the client * [boxPlotGG_data_TreatmentDS](dsBase/boxPlotGG_data_TreatmentDS.html) Arrange data frame to pass it to the boxplot function * [boxPlotGG_data_Treatment_numericDS](dsBase/boxPlotGG_data_Treatment_numericDS.html) Arrange vector to pass it to the boxplot function * [bp_standardsDS](dsBase/bp_standardsDS.html) Calculates Blood pressure z-scores * [cDS](dsBase/cDS.html) Concatenates objects into a vector or list * [cbindDS](dsBase/cbindDS.html) cbindDS called by ds.cbind * [changeRefGroupDS](dsBase/changeRefGroupDS.html) Changes a reference level of a factor * [checkNegValueDS](dsBase/checkNegValueDS.html) Checks if a numeric variable has negative values * [checkPermissivePrivacyControlLevel](dsBase/checkPermissivePrivacyControlLevel.html) checkPermissivePrivacyControlLevel * [classDS](dsBase/classDS.html) Returns the class of an object * [colnamesDS](dsBase/colnamesDS.html) Returns the column names of a data frame or matrix * [completeCasesDS](dsBase/completeCasesDS.html) completeCasesDS: an assign function called by ds.completeCases * [corDS](dsBase/corDS.html) Computes the sum of each variable and the sum of products for each pair of variables * [corTestDS](dsBase/corTestDS.html) Tests for correlation between paired samples * [covDS](dsBase/covDS.html) Computes the sum of each variable and the sum of products for each pair of variables * [dataFrameDS](dsBase/dataFrameDS.html) dataFrameDS called by ds.dataFrame * [dataFrameFillDS](dsBase/dataFrameFillDS.html) dataFrameFillDS * [dataFrameSortDS](dsBase/dataFrameSortDS.html) Sorting and reordering data frames, vectors or matrices * [dataFrameSubsetDS1](dsBase/dataFrameSubsetDS1.html) dataFrameSubsetDS1 an aggregate function called by ds.dataFrameSubset * [dataFrameSubsetDS2](dsBase/dataFrameSubsetDS2.html) dataFrameSubsetDS2 an assign function called by ds.dataFrameSubset * [densityGridDS](dsBase/densityGridDS.html) Generates a density grid with or without a priori defined limits * [dimDS](dsBase/dimDS.html) Returns the dimension of a data frame or matrix * [dmtC2SDS](dsBase/dmtC2SDS.html) Copy a clientside data.frame, matrix or tibble (DMT) to the serverside. * [elsplineDS](dsBase/elsplineDS.html) Basis for a piecewise linear spline with meaningful coefficients * [extract](dsBase/extract.html) Splits character by '$' and returns the single characters * [extractQuantilesDS1](dsBase/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](dsBase/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](dsBase/gamlssDS.html) gamlssDS an aggregate function called by ds.galmss * [getWGSRDS](dsBase/getWGSRDS.html) Computes the WHO Growth Reference z-scores of anthropometric data * [glmDS1](dsBase/glmDS1.html) glmDS1 called by ds.glm * [glmDS2](dsBase/glmDS2.html) glmDS2 called by ds.glm * [glmPredictDS.ag](dsBase/glmPredictDS.ag.html) predict regression responses from a glm object * [glmPredictDS.as](dsBase/glmPredictDS.as.html) predict regression responses from a glm object * [glmSLMADS.assign](dsBase/glmSLMADS.assign.html) Fit a Generalized Linear Model (GLM) with pooling via Study Level Meta-Analysis (SLMA) * [glmSLMADS1](dsBase/glmSLMADS1.html) Fit a Generalized Linear Model (GLM) with pooling via Study Level Meta-Analysis (SLMA) * [glmSLMADS2](dsBase/glmSLMADS2.html) Fit a Generalized Linear Model (GLM) with pooling via Study Level Meta-Analysis (SLMA) * [glmSummaryDS.ag](dsBase/glmSummaryDS.ag.html) summarize a glm object on the serverside * [glmSummaryDS.as](dsBase/glmSummaryDS.as.html) summarize a glm object on the serverside * [glmerSLMADS.assign](dsBase/glmerSLMADS.assign.html) Fitting generalized linear mixed effect models - serverside function * [glmerSLMADS2](dsBase/glmerSLMADS2.html) Fitting generalized linear mixed effect models - serverside function * [heatmapPlotDS](dsBase/heatmapPlotDS.html) Calculates the coordinates of the centroid of each n nearest neighbours * [hetcorDS](dsBase/hetcorDS.html) Heterogeneous Correlation Matrix * [histogramDS1](dsBase/histogramDS1.html) returns the minimum and the maximum of the input numeric vector * [histogramDS2](dsBase/histogramDS2.html) Computes a histogram of the input variable without plotting. * [igb_standardsDS](dsBase/igb_standardsDS.html) Converts birth measurements to intergrowth z-scores/centiles * [isNaDS](dsBase/isNaDS.html) Checks if a vector is empty * [isValidDS](dsBase/isValidDS.html) Checks if an input is valid * [kurtosisDS1](dsBase/kurtosisDS1.html) Calculates the kurtosis of a numeric variable * [kurtosisDS2](dsBase/kurtosisDS2.html) Calculates the kurtosis of a numeric variable * [lengthDS](dsBase/lengthDS.html) Returns the length of a vector or list * [levelsDS](dsBase/levelsDS.html) Returns the levels of a factor vector * [lexisDS1](dsBase/lexisDS1.html) lexisDS1 * [lexisDS2](dsBase/lexisDS2.html) lexisDS2 * [lexisDS3](dsBase/lexisDS3.html) @title lexisDS3 * [listDS](dsBase/listDS.html) Coerce objects into a list * [listDisclosureSettingsDS](dsBase/listDisclosureSettingsDS.html) listDisclosureSettingsDS * [lmerSLMADS.assign](dsBase/lmerSLMADS.assign.html) Fitting linear mixed effect models - serverside function * [lmerSLMADS2](dsBase/lmerSLMADS2.html) Fitting linear mixed effect models - serverside function * [lsDS](dsBase/lsDS.html) lists all objects on a serverside environment * [lsplineDS](dsBase/lsplineDS.html) Basis for a piecewise linear spline with meaningful coefficients * [matrixDS](dsBase/matrixDS.html) matrixDS assign function called by ds.matrix * [matrixDetDS1](dsBase/matrixDetDS1.html) matrixDetDS aggregate function called by ds.matrixDet.report * [matrixDetDS2](dsBase/matrixDetDS2.html) matrixDetDS assign function called by ds.matrixDet * [matrixDiagDS](dsBase/matrixDiagDS.html) matrixDiagDS assign function called by ds.matrixDiag * [matrixDimnamesDS](dsBase/matrixDimnamesDS.html) matrixDimnamesDS assign function called by ds.matrixDimnames * [matrixInvertDS](dsBase/matrixInvertDS.html) matrixInvertDS serverside assign function called by ds.matrixInvert * [matrixMultDS](dsBase/matrixMultDS.html) matrixMultDS serverside assign function called by ds.matrixMult * [matrixTransposeDS](dsBase/matrixTransposeDS.html) matrixTransposeDS serverside assign function called by ds.matrixTranspose * [meanDS](dsBase/meanDS.html) Computes statistical mean of a vectores * [meanSdGpDS](dsBase/meanSdGpDS.html) MeanSdGpDS * [mergeDS](dsBase/mergeDS.html) mergeDS (assign function) called by ds.merge * [messageDS](dsBase/messageDS.html) messageDS * [metadataDS](dsBase/metadataDS.html) Returns the metadata, if any, about the specified variable * [miceDS](dsBase/miceDS.html) Aggregate function called by ds.mice * [minMaxRandDS](dsBase/minMaxRandDS.html) Secure ranking of "V2BR" (vector to be ranked) across all sources * [namesDS](dsBase/namesDS.html) Return the names of a list object * [nsDS](dsBase/nsDS.html) Generate a Basis Matrix for Natural Cubic Splines * [numNaDS](dsBase/numNaDS.html) Counts the number of missing values * [qlsplineDS](dsBase/qlsplineDS.html) Basis for a piecewise linear spline with meaningful coefficients * [quantileMeanDS](dsBase/quantileMeanDS.html) Generates quantiles and mean information without maximum and minimum * [rBinomDS](dsBase/rBinomDS.html) rBinomDS serverside assign function * [rNormDS](dsBase/rNormDS.html) rNormDS serverside assign function * [rPoisDS](dsBase/rPoisDS.html) rPoisDS serverside assign function * [rUnifDS](dsBase/rUnifDS.html) rUnifDS serverside assign function * [rangeDS](dsBase/rangeDS.html) returns the minimum and maximum of a numeric vector * [ranksSecureDS1](dsBase/ranksSecureDS1.html) Secure ranking of "V2BR" (vector to be ranked) across all sources * [ranksSecureDS2](dsBase/ranksSecureDS2.html) Secure ranking of "V2BR" (vector to be ranked) across all sources * [ranksSecureDS3](dsBase/ranksSecureDS3.html) Secure ranking of "V2BR" (vector to be ranked) across all sources * [ranksSecureDS4](dsBase/ranksSecureDS4.html) Secure ranking of "V2BR" (vector to be ranked) across all sources * [ranksSecureDS5](dsBase/ranksSecureDS5.html) Secure ranking of "V2BR" (vector to be ranked) across all sources * [rbindDS](dsBase/rbindDS.html) rbindDS called by ds.rbind * [reShapeDS](dsBase/reShapeDS.html) reShapeDS (assign function) called by ds.reShape * [recodeLevelsDS](dsBase/recodeLevelsDS.html) Recodes the levels of a categorical variables * [recodeValuesDS](dsBase/recodeValuesDS.html) recodeValuesDS an assign function called by ds.recodeValues * [repDS](dsBase/repDS.html) repDS called by ds.rep * [replaceNaDS](dsBase/replaceNaDS.html) Replaces the missing values in a vector * [rmDS](dsBase/rmDS.html) rmDS an aggregate function called by ds.rm * [rowColCalcDS](dsBase/rowColCalcDS.html) Computes sums and means of rows or columns of numeric arrays * [sampleDS](dsBase/sampleDS.html) random sampling and permuting of vectors, dataframes and matrices * [scatterPlotDS](dsBase/scatterPlotDS.html) Calculates the coordinates of the data to be plot * [seqDS](dsBase/seqDS.html) seqDS a serverside assign function called by ds.seq * [setFilterDS](dsBase/setFilterDS.html) Sets the privacy level * [setSeedDS](dsBase/setSeedDS.html) setSeedDs called by ds.setSeed, ds.rNorm, ds.rUnif, ds.rPois and ds.rBinom * [skewnessDS1](dsBase/skewnessDS1.html) Calculates the skewness of a numeric variable * [skewnessDS2](dsBase/skewnessDS2.html) Calculates the skewness of a numeric variable * [sqrtDS](dsBase/sqrtDS.html) Computes the square root values of the input variable * [subsetByClassDS](dsBase/subsetByClassDS.html) Breaks down a dataframe or a factor into its sub-classes * [subsetByClassHelper1](dsBase/subsetByClassHelper1.html) generates subsets vectors from a factor vector * [subsetByClassHelper2](dsBase/subsetByClassHelper2.html) generates subset tables from a data frame * [subsetByClassHelper3](dsBase/subsetByClassHelper3.html) generates subset tables from a data frame * [subsetDS](dsBase/subsetDS.html) Generates a valid subset of a table or a vector * [table1DDS](dsBase/table1DDS.html) Creates 1-dimensional contingency tables * [table2DDS](dsBase/table2DDS.html) table2DDS (aggregate function) called by ds.table2D * [tableDS](dsBase/tableDS.html) tableDS is the first of two serverside aggregate functions called by ds.table * [tableDS.assign](dsBase/tableDS.assign.html) tableDS.assign is the serverside assign function called by ds.table * [tableDS2](dsBase/tableDS2.html) tableDS is the second of two serverside aggregate functions called by ds.table * [tapplyDS](dsBase/tapplyDS.html) tapplyDS called by ds.tapply * [tapplyDS.assign](dsBase/tapplyDS.assign.html) tapplyDS.assign called by ds.tapply.assign * [testObjExistsDS](dsBase/testObjExistsDS.html) testObjExistsDS * [unListDS](dsBase/unListDS.html) unListDS a serverside assign function called by ds.unList * [uniqueDS](dsBase/uniqueDS.html) Applies the 'unique' method to a server-side variable. * [varDS](dsBase/varDS.html) Computes the variance of vector * [vectorDS](dsBase/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) ### dsDanger Installation command: # Install dsDanger package (server side) library(opaladmin) o<-opal.login(...) dsadmin.install_package(o, 'dsDanger') Functions: * [DANGERc2sMATDFDS](dsDanger/DANGERc2sMATDFDS.html) DANGER FUNCTION copying clientside matrix to serverside * [DANGERdfEXTRACTDS](dsDanger/DANGERdfEXTRACTDS.html) DANGER function returning data.frame (df) from processing servers to clientside - *** DEPRECATED DANGERdmtEXTRACTDS *** * [DANGERdmtEXTRACTDS](dsDanger/DANGERdmtEXTRACTDS.html) DANGER function returning data.frame, Matrix or tibble (DMT) from processing servers to clientside * [DANGERlistcodeDS](dsDanger/DANGERlistcodeDS.html) lists the code for a function * [DANGERpassPARSERDS](dsDanger/DANGERpassPARSERDS.html) determines how a given R object or character string is managed by the DataSHIELD parser * [DANGERplotDS](dsDanger/DANGERplotDS.html) DANGERplotDS * [DANGERprintDS](dsDanger/DANGERprintDS.html) DANGERprintDS * [DANGERsearchDS](dsDanger/DANGERsearchDS.html) lists all environments on serverside * [DANGERseedEXTRACTDS](dsDanger/DANGERseedEXTRACTDS.html) DANGERseedEXTRACT * [DANGERvarsEXTRACTDS](dsDanger/DANGERvarsEXTRACTDS.html) DANGERvarsEXTRACT Sources: * [DESCRIPTION](https://raw.github.com/datashield/dsDanger/6.2.0/DESCRIPTION) * [dsDanger 6.2.0](https://github.com/datashield/dsDanger/tree/6.2.0)