dsBaseClient6.3.5 package

Checks that an object has the same class in all studies

Produces column percentages

Compute Weighted Mean by Group

Pool missing data patterns across studies

Computes the absolute values of a variable

Converts a server-side R object into a character class

Converts a server-side R object into a matrix

Converts a server-side numeric vector into a factor

Converts a numeric vector into a factor

Converts a server-side R object into an integer class

Converts a server-side R object into a list

Converts a server-side R object into a logical class

Converts a server-side R object into a matrix

Converts a server-side R object into a numeric class

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

Calculates the Area under the curve (AUC)

Converts a server-side R object into Boolean indicators

Draw boxplot

Take a vector on the server side an arrange it to pass it to the boxpl...

Take a data frame on the server side an arrange it to pass it to the b...

Draw boxplot with information from a numeric vector

Draw boxplot with information from a data frame

Renders boxplot

Calculates Blood pressure z-scores

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

Combines R objects by columns in the server-side

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

Class of the R object in the server-side

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

Identifies complete cases in server-side R objects

Generates a contour plot

Calculates the correlation of R objects in the server-side

Tests for correlation between paired samples in the server-side

Calculates the covariance of R objects in the server-side

Generates a data frame object in the server-side

Creates missing values columns in the server-side

Sorts data frames in the server-side

Sub-sets data frames in the server-side

Generates a density grid in the client-side

Retrieves the dimension of a server-side R object

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

Basis for a piecewise linear spline with meaningful coefficients

Checks if an object is defined on the server-side

Computes the exponentials in the server-side

Secure ranking of a vector across all sources and use of these ranks t...

Forestplot for SLMA models

Generalized Additive Models for Location Scale and Shape

Computes the WHO Growth Reference z-scores of anthropometric data

Fits Generalized Linear Model

Fits Generalized Linear Mixed-Effect Models via Study-Level Meta-Analy...

Applies predict.glm() to a serverside glm object

Fit a Generalized Linear Model (GLM) with pooling via Study Level Meta...

Summarize a glm object on the serverside

Generates a Heat Map plot

Heterogeneous Correlation Matrix

Generates a histogram plot

Converts birth measurements to intergrowth z-scores/centiles

Checks if a server-side vector is empty

Checks if a server-side object is valid

Calculates the kurtosis of a numeric variable

Gets the length of an object in the server-side

Produces levels attributes of a server-side factor

Represents follow-up in multiple states on multiple time scales

Constructs a list of objects in the server-side

Lists client-side functions

Lists disclosure settings

Lists all Opal objects in the analytic environment

Lists server-side functions

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

Computes logarithms in the server-side

Performs direct call to a server-side aggregate function

lists all objects on a server-side environment

Basis for a piecewise linear spline with meaningful coefficients

Calculates a new object in the server-side

Creates a matrix on the server-side

Calculates de determinant of a matrix in the server-side

Returns matrix determinant to the client-side

Calculates matrix diagonals in the server-side

Specifies the dimnames of the server-side matrix

Inverts a server-side square matrix

Calculates tow matrix multiplication in the server-side

Transposes a server-side matrix

Display missing data patterns with disclosure control

Computes server-side vector statistical mean

Computes the mean and standard deviation across categories

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

Merges two data frames in the server-side

Returns server-side messages to the client-side

Gets the metadata associated with a variable held on the server

Multivariate Imputation by Chained Equations

Return the names of a list object

Generate a Basis Matrix for Natural Cubic Splines

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

Basis for a piecewise linear spline with meaningful coefficients

Computes the quantiles of a server-side variable

Secure ranking of a vector across all sources

Combines R objects by rows in the server-side

Generates Binomial distribution in the server-side

Recodes the levels of a server-side factor vector

Recodes server-side variable values

Creates a repetitive sequence in the server-side

Replaces the missing values in a server-side vector

Reshapes server-side grouped data

Deletes server-side R objects

Generates Normal distribution in the server-side

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

Generates Poisson distribution in the server-side

Generates Uniform distribution in the server-side

Performs random sampling and permuting of vectors, dataframes and matr...

Generates non-disclosive scatter plots

Generates a sequence in the server-side

Creates a default set of Opal objects called 'default.opals'

Server-side random number generation

Calculates the skewness of a server-side numeric variable

Computes the square root values of a variable

Generates a valid subset of a table or a vector

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

Generates the summary of a server-side object

Generates 1-, 2-, and 3-dimensional contingency tables with option of ...

Generates 1-dimensional contingency tables

Generates 2-dimensional contingency tables

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

Applies a Function Over a Server-Side Ragged Array

Checks if an R object exists on the server-side

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

Flattens Server-Side Lists

Computes server-side vector variance

Performs a mathematical operation on two or more vectors

Splits character by '$' and returns the single characters

Gets a pooled statistical mean

Gets a pooled variance

Checks if the elements in the glm model have the right characteristics

Checks an object has been generated on the server side

Checks if the objects are defined in all studies

Turns a logical operator into an integer

Computes the mean values of a numeric vector across a factor vector

Runs the computation if variables are within a table structure

Generates subset tables

Generates a table for pooled results

Generates results tables for each study separately

Gets the subset tables out of the list (i.e. unlist)

Produces row percentages

Ensures that the requested subset is not larger than the original obje...