Merge pull request #38 from datashield/v6.3.4-dev

Fix typos

Author: StuartWheater

R/asDataMatrixDS.R

@@ -3,7 +3,7 @@
 #' class for all columns in data.frames.
 #' @details This assign function is based on the native R function \code{data.matrix}
 #' If applied to a data.frame, the native R function \code{as.matrix}
-#' coverts all columns into character class. In contrast, if applied to
+#' converts all columns into character class. In contrast, if applied to
 #' a data.frame the native R function \code{data.matrix} converts
 #' the data.frame to a matrix but maintains all data columns in their
 #' original class

R/checkNegValueDS.R

@@ -1,7 +1,7 @@
 #'
 #' @title Checks if a numeric variable has negative values
 #' @description this function is only called by the client function \code{ds.glm}.
-#' @details if a user sets the parameter 'weights' on the client site function \code{ds.glm} this 
+#' @details if a user sets the parameter 'weights' on the client side function \code{ds.glm} this 
 #' server side function is called to verify that the 'weights' vector does not have negative values
 #' because no negative are allowed in weights.
 #' @param weights a numeric vector

R/densityGridDS.R

@@ -1,6 +1,6 @@
 #' 
 #' @title Generates a density grid with or without a priori defined limits
-#' @description Generates a density grid that can then be used for heatmap or countour plots.
+#' @description Generates a density grid that can then be used for heatmap or contour plots.
 #' @details Invalid cells (cells with count < to the set filter value for the minimum allowed
 #' counts in table cells) are turn to 0.
 #' @param xvect a numerical vector

R/dmtC2SDS.R

@@ -22,10 +22,10 @@
 #' @param ncols.transmit specifies the number of columns in the matrix to be created.
 #' Fixed by the clientside function as equal to the number of columns in
 #' the clientside DMT to be transferred.
-#' @param colnames.transmit a parser-transmissable vector specifying the name of each column
+#' @param colnames.transmit a parser-transmissible vector specifying the name of each column
 #' in the DMT being transferred from clientside to serverside.
 #' Generated automatically by clientside function from colnames of clientside DMT.
-#' @param colclass.transmit a parser-transmissable vector specifying the class of the
+#' @param colclass.transmit a parser-transmissible vector specifying the class of the
 #' vector representing each individual column in the DMT to be transferred.
 #' Generated automatically by clientside function. This allows the transmission of DMTs
 #' containing columns with different classes.If something is going to go wrong with

R/gamlssDS.R

@@ -1,5 +1,5 @@
 #'
-#' @title gamlssDS an aggregate function called by ds.galmss
+#' @title gamlssDS an aggregate function called by ds.gamlss
 #' @description This function calls the gamlssDS that is a wrapper function from 
 #' the gamlss R package. The function returns an object of class "gamlss", which 
 #' is a generalized additive model for location, scale and shape (GAMLSS). The 

R/glmerSLMADS.assign.R

@@ -5,7 +5,7 @@
 #' The analytic work engine is the glmer function in R which sits in the lme4 package.
 #' glmerSLMADS.assign fits a generalized linear mixed effects model (glme) - e.g. a logistic or
 #' Poisson regression model including both fixed and random effects - on data
-#' from each single data source and saves the regression outcomes on the serveside.
+#' from each single data source and saves the regression outcomes on the serverside.
 #' @param formula see help for ds.glmerSLMA
 #' @param offset see help for ds.glmerSLMA
 #' @param weights see help for ds.glmerSLMA

R/hetcorDS.R

@@ -1,7 +1,7 @@
 #' 
 #' @title Heterogeneous Correlation Matrix
 #' @description This function is based on the hetcor function from the R package \code{polycor}.
-#' @details Computes a heterogenous correlation matrix, consisting of Pearson product-moment
+#' @details Computes a heterogeneous correlation matrix, consisting of Pearson product-moment
 #' correlations between numeric variables, polyserial correlations between numeric and ordinal
 #' variables, and polychoric correlations between ordinal variables.
 #' @param data the name of a data frame consisting of factors, ordered factors, logical variables,

R/lexisDS2.R

@@ -3,7 +3,7 @@
 #' @description The second serverside function called by ds.lexis.
 #' @details This is the assign
 #' function which actually creates
-#' the expanded dataframe containing surival data for a piecewise exponential
+#' the expanded dataframe containing survival data for a piecewise exponential
 #' regression. lexisDS2 also
 #' carries out a series of disclosure checks and if the arguments or data fail any of
 #' those tests,

R/lmerSLMADS.assign.R

@@ -1,10 +1,10 @@
 #' @title Fitting linear mixed effect models - serverside function
-#' @description lmerSLMADS.assing is the same as lmerSLMADS2 which fits a linear
+#' @description lmerSLMADS.assign is the same as lmerSLMADS2 which fits a linear
 #' mixed effects model (lme) per study and saves the outcomes in each study
 #' @details lmerSLMADS.assign is a serverside function called by ds.lmerSLMA on the clientside.
 #' The analytic work engine is the lmer function in R which sits in the lme4 package.
 #' lmerSLMADS.assign fits a linear mixed effects model (lme) including both fixed and random
-#' effects - on data from each single data source and saves the regression outcomes on the serveside.
+#' effects - on data from each single data source and saves the regression outcomes on the serverside.
 #' @param formula see help for ds.lmerSLMA
 #' @param offset see help for ds.lmerSLMA
 #' @param weights see help for ds.lmerSLMA

R/meanDS.R

@@ -1,5 +1,5 @@
 #'
-#' @title Computes statistical mean of a vectores
+#' @title Computes statistical mean of a vector
 #' @description Calculates the mean value.
 #' @details if the length of input vector is less than the set filter
 #' a missing value is returned.