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 |
cbindDS |
cbindDS called by ds.cbind |
cDS |
Concatenates objects into a vector or list |
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 |
gamlssDS |
gamlssDS an aggregate function called by ds.galmss |
getWGSRDS |
Computes the WHO Growth Reference z-scores of anthropometric data |
glmDS1 |
glmDS1 called by ds.glm |
glmDS2 |
glmDS2 called by ds.glm |
glmerSLMADS.assign |
Fitting generalized linear mixed effect models - serverside function |
glmerSLMADS2 |
Fitting generalized linear mixed effect models - serverside function |
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 |
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 |
matrixDS |
matrixDS assign function called by ds.matrix |
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 vectores |
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 |
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 |
rBinomDS |
rBinomDS serverside assign function |
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 |
reShapeDS |
reShapeDS (assign function) called by ds.reShape |
rmDS |
rmDS an aggregate function called by ds.rm |
rNormDS |
rNormDS serverside assign function |
rowColCalcDS |
Computes sums and means of rows or columns of numeric arrays |
rPoisDS |
rPoisDS serverside assign function |
rUnifDS |
rUnifDS serverside assign function |
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 |