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#' Computes the absolute value.
#'
#'
#' Helper Function for xpssCompute. R Implementation of the SPSS \code{ABS} Function.
#'
#'
#' @usage computeAbs(x)
#' @param x an atomic numeric or numeric vector or numeric matrix.
#' @return Returns a vector with the absolute values of the input data.
#' @author Bastian Wiessner
#' @seealso \code{\link{abs}}
#' @examples
#' data(fromXPSS)
#' xpssCompute(x = fromXPSS, variables = "V5",fun = "computeAbs")
#' @keywords internal
#' @export
#'
computeAbs <- function(x){
#exceptions
if(!(is.numeric(x))){
stop("input data has to be numeric")
}
if(ncol(x) == 1){
out <- base::abs(x)
} else{
stop("computeAbs is limited to one input variable")
}
return(out)
}
#' Computes the arc-sine.
#'
#'
#' Helper Function for xpssCompute. R Implementation of the SPSS \code{ARSIN} Function.
#'
#'
#' @usage computeArsin(x)
#' @param x an atomic numeric or numeric vector or numeric matrix.
#' @return returns a vector with the arc-sine values of the input data.
#' @author Bastian Wiessner
#' @seealso \code{\link{asin}}
#' @examples
#' xpssCompute(x = fromXPSS, variables = "V5",fun = "computeArsin")
#' @keywords internal
#' @export
computeArsin <- function(x){
if(!(is.numeric(x))){
stop("input data has to be numeric")
}
if(ncol(x) == 1){
out <- base::asin(x)
} else{
stop("computeArsin is limited to one input variable")
}
return(out)
}
#' Computes the arc-tan.
#'
#'
#' Helper Function for xpssCompute. R Implementation of the SPSS \code{ARTAN} Function.
#'
#'
#' @usage computeArtan(x)
#' @param x an atomic numeric or numeric vector or numeric matrix.
#' @return returns a numeric, numeric vector or matrix with the arc-tan values of the input data.
#' @author Bastian Wiessner
#' @seealso \code{\link{atan}}
#' @examples
#' xpssCompute(x = fromXPSS, variables = "V5",fun = "computeArtan")
#' @keywords internal
#' @export
computeArtan <- function(x){
if(!(is.numeric(x))){
stop("input data has to be numeric")
}
if(ncol(x) == 1){
out <- base::atan(x)
} else{
stop("computeArtan is limited to one input variable")
}
return(out)
}
#' Computes the cosinus.
#'
#'
#' Helper Function for xpssCompute. R Implementation of the SPSS \code{COS} Function.
#'
#'
#' @usage computeCos(x)
#' @param x an atomic numeric or numeric vector or numeric matrix.
#' @return returns a numeric, numeric vector or matrix with the cosinus values of the input data.
#' @author Bastian Wiessner
#' @seealso \code{\link{cos}}
#' @examples
#' xpssCompute(x = fromXPSS, variables = "V5",fun = "computeCos")
#' @keywords internal
#' @export
computeCos <- function(x){
if(!(is.numeric(x))){
stop("input data has to be numeric")
}
if(ncol(x) == 1){
out <- base::cos(x)
} else{
stop("computeCos is limited to one input variable")
}
return(out)
}
#' Computes the exponential
#'
#'
#' Helper Function for xpssCompute. R Implementation of the SPSS \code{EXP} Function.
#'
#'
#' @usage computeExp(x)
#' @param x an atomic numeric or numeric vector or numeric matrix.
#' @return returns a numeric, numeric vector or matrix with the expontential values of the input data.
#' @author Bastian Wiessner
#' @seealso \code{\link{exp}}
#' @examples
#' xpssCompute(x = fromXPSS, variables = "V5",fun = "computeExp")
#' @keywords internal
#' @export
computeExp <- function(x){
if(!(is.numeric(x))){
stop("input data has to be numeric")
}
if(ncol(x) == 1){
out <- base::exp(x)
} else{
stop("computeExp is limited to one input variable")
}
return(out)
}
#' Computes the logarithm base 10
#'
#'
#' Helper Function for xpssCompute. R Implementation of the SPSS \code{LG10} Function.
#'
#'
#' @usage computeLg10(x)
#' @param x an atomic numeric or numeric vector or numeric matrix.
#' @return returns a numeric, numeric vector or matrix with the logarithm base 10 values of the input data.
#' @author Bastian Wiessner
#' @seealso \code{\link{log}}
#' @examples
#' xpssCompute(x = fromXPSS, variables = "V5",fun = "computeLg10")
#' @keywords internal
#' @export
computeLg10 <- function(x){
if(!(is.numeric(x))){
stop("input data has to be numeric")
}
if(ncol(x) == 1){
out <- base::log10(x)
} else{
stop("computeLg10 is limited to one input variable")
}
return(out)
}
#' Computes the logarithm naturalis
#'
#'
#' Helper Function for xpssCompute. R Implementation of the SPSS \code{LN} Function.
#'
#'
#' @usage computeLn(x)
#' @param x an atomic numeric or numeric vector or numeric matrix.
#' @return returns a numeric, numeric vector or matrix with the logarithm naturalis values of the input data.
#' @author Bastian Wiessner
#' @seealso \code{\link{log}}
#' @examples
#' xpssCompute(x = fromXPSS, variables = "V5",fun = "computeLn")
#' @keywords internal
#' @export
computeLn <- function(x){
if(!(is.numeric(x))){
stop("input data has to be numeric")
}
if(ncol(x) == 1){
out <- base::log(x)
} else{
stop("computeLn is limited to one input variable")
}
return(out)
}
#' Computes the logarithm of the gamma function
#'
#'
#' Helper Function for xpssCompute. R Implementation of the SPSS \code{LNGAMMA} Function.
#'
#'
#' @usage computeLngamma(x)
#' @param x an atomic numeric or numeric vector or numeric matrix.
#' @return returns a numeric, numeric vector or matrix with the logarithm of the gamma function values of the input data.
#' @author Bastian Wiessner
#' @seealso \code{\link{lgamma}}
#' @examples
#' xpssCompute(x = fromXPSS, variables = "V5",fun = "computeLngamma")
#' @keywords internal
#' @export
computeLngamma <- function(x){
if(!(is.numeric(x))){
stop("input data has to be numeric")
}
if(ncol(x) == 1){
out <- base::lgamma(x)
} else{
stop("computeLngamma is limited to one input variable")
}
return(out)
}
#' Returns the remainder of a division.
#'
#'
#' Helper Function for xpssCompute. R Implementation of the SPSS \code{MOD} Function.
#'
#'
#' @usage computeMod(x,modulus = NULL)
#' @param x an atomic numeric or numeric vector or numeric matrix.
#' @param modulus atomic numeric \code{x} is divided by.
#' @return returns a numeric vector including the remainder of \code{x} by \code{modulus}.
#' @author Bastian Wiessner
#' @seealso \code{\link{\%\%}}
#' @keywords internal
#' @examples
#' xpssCompute(x = fromXPSS, variables = "V5",fun = "computeMod", modulus = 2)
#' @export
computeMod <- function(x,modulus = NULL){
if(is.null(modulus)){
stop("argument modulus is missing")
} else{
if(is.numeric(modulus)){
if(!(is.numeric(x))){
stop("input data has to be numeric")
}
if(ncol(x) == 1){
out <- x %% modulus
} else{
stop("computeMod is limited to one input variable")
}
}
else{
stop("modulus has to be numeric")
}
}
return(out)
}
#' Rounds values.
#'
#'
#' Helper Function for xpssCompute. R Implementation of the SPSS \code{RND} Function.
#'
#'
#' @usage computeRnd(x, digits=2)
#' @param x a numeric or complex vector.
#' @param digits atomic numeric argument, indicating the number of decimal places.
#' @return returns the rounded values of \code{x} with the specified number of decimal places.
#' @author Bastian Wiessner
#' @seealso \code{\link{round}}
#' @keywords internal
#' @examples
#' xpssCompute(x = fromXPSS, variables = "V5",fun = "computeRnd")
#'
#' xpssCompute(x = fromXPSS, variables = "V5",fun = "computeRnd",digits=1)
#' @export
#'
computeRnd <- function(x,digits=2){
if(!(is.numeric(x))){
stop("input data has to be numeric")
}
if(ncol(x) == 1){
out <- round(x,digits=digits)
} else{
stop("computeRnd is limited to one input variable")
}
return(out)
}
#' Computes the sine function
#'
#'
#' Helper Function for xpssCompute. R Implementation of the SPSS \code{SIN} Function.
#'
#'
#' @usage computeSin(x)
#' @param x an atomic numeric or numeric vector or numeric matrix.
#' @return returns a numeric, numeric vector or matrix with the sine values of the input data.
#' @author Bastian Wiessner
#' @seealso \code{\link{sin}}
#' @examples
#' xpssCompute(x = fromXPSS, variables = "V5",fun = "computeSin")
#' @keywords internal
#' @export
computeSin <- function(x){
if(!(is.numeric(x))){
stop("input data has to be numeric")
}
if(ncol(x) == 1){
out <- base::sin(x)
} else{
stop("computeSin is limited to one input variable")
}
return(out)
}
#' Computes the square root
#'
#'
#' Helper Function for xpssCompute. R Implementation of the SPSS \code{SQRT} Function.
#'
#'
#' @usage computeSqrt(x)
#' @param x an atomic numeric or numeric vector or numeric matrix.
#' @return returns a numeric, numeric vector or matrix with the square root values of the input data.
#' @author Bastian Wiessner
#' @seealso \code{\link{sqrt}}
#' @examples
#' xpssCompute(x = fromXPSS, variables = "V5",fun = "computeSqrt")
#' @keywords internal
#' @export
computeSqrt <- function(x){
if(!(is.numeric(x))){
stop("input data has to be numeric")
}
if(ncol(x) == 1){
out <- base::sqrt(x)
} else{
stop("computeSqrt is limited to one input variable")
}
return(out)
}
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