diff --git a/DESCRIPTION b/DESCRIPTION
index 14bc13d9..d159ca81 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,5 +1,5 @@
 Package: AMR
-Version: 1.8.2.9075
+Version: 1.8.2.9076
 Date: 2022-12-30
 Title: Antimicrobial Resistance Data Analysis
 Description: Functions to simplify and standardise antimicrobial resistance (AMR)
diff --git a/NEWS.md b/NEWS.md
index 4f89e136..d204913d 100755
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,4 @@
-#  1.8.2.9075
+#  1.8.2.9076
 
 *(this beta version will eventually become v2.0! We're happy to reach a new major milestone soon!)*
 
diff --git a/R/mean_amr_distance.R b/R/mean_amr_distance.R
index fe8defc3..e2493a83 100644
--- a/R/mean_amr_distance.R
+++ b/R/mean_amr_distance.R
@@ -27,11 +27,11 @@
 # how to conduct AMR data analysis: https://msberends.github.io/AMR/   #
 # ==================================================================== #
 
-#' Mean AMR Distance
+#' Calculate the Mean AMR Distance
 #'
-#' This function calculates a normalised mean for antimicrobial resistance between multiple observations.
+#' Calculates a normalised mean for antimicrobial resistance between multiple observations, to help to identify similar isolates without comparing antibiograms by hand.
 #' @param x a vector of class [rsi][as.rsi()], [rsi][as.rsi()] or [rsi][as.rsi()], or a [data.frame] containing columns of any of these classes
-#' @param ... variables to select (supports tidy selection such as `column1:column4` and [`where(is.mic)`][tidyselect::language]), and can thus also be [antibiotic selectors][ab_selector()]
+#' @param ... variables to select (supports [tidyselect language][tidyselect::language] such as `column1:column4` and `where(is.mic)`, and can thus also be [antibiotic selectors][ab_selector()]
 #' @param combine_SI 	a [logical] to indicate whether all values of S and I must be merged into one, so the input only consists of S+I vs. R (susceptible vs. resistant), defaults to `TRUE`
 #' @details The mean AMR distance is a normalised numeric value to compare AMR test results and can help to identify similar isolates, without comparing antibiograms by hand. For common numeric data this distance is equal to [Z scores](https://en.wikipedia.org/wiki/Standard_score) (the number of standard deviations from the mean).
 #'
@@ -83,20 +83,20 @@ mean_amr_distance <- function(x, ...) {
   UseMethod("mean_amr_distance")
 }
 
-#' @rdname mean_amr_distance
+#' @noRd
 #' @export
 mean_amr_distance.default <- function(x, ...) {
   x <- as.double(x)
   (x - mean(x, na.rm = TRUE)) / stats::sd(x, na.rm = TRUE)
 }
 
-#' @rdname mean_amr_distance
+#' @noRd
 #' @export
 mean_amr_distance.mic <- function(x, ...) {
   mean_amr_distance(log2(x))
 }
 
-#' @rdname mean_amr_distance
+#' @noRd
 #' @export
 mean_amr_distance.disk <- function(x, ...) {
   mean_amr_distance(as.double(x))
diff --git a/man/g.test.Rd b/man/g.test.Rd
index 5081cc04..940bc86e 100644
--- a/man/g.test.Rd
+++ b/man/g.test.Rd
@@ -21,7 +21,7 @@ g.test(x, y = NULL, p = rep(1/length(x), length(x)), rescale.p = FALSE)
 \item{y}{a numeric vector; ignored if \code{x} is a matrix.  If
     \code{x} is a factor, \code{y} should be a factor of the same length.}
 
-\item{p}{a vector of probabilities of the same length as \code{x}.
+\item{p}{a vector of probabilities of the same length of \code{x}.
     An error is given if any entry of \code{p} is negative.}
 
 \item{rescale.p}{a logical scalar; if TRUE then \code{p} is rescaled
diff --git a/man/mean_amr_distance.Rd b/man/mean_amr_distance.Rd
index 5b65b2e8..5e6f9429 100644
--- a/man/mean_amr_distance.Rd
+++ b/man/mean_amr_distance.Rd
@@ -2,22 +2,13 @@
 % Please edit documentation in R/mean_amr_distance.R
 \name{mean_amr_distance}
 \alias{mean_amr_distance}
-\alias{mean_amr_distance.default}
-\alias{mean_amr_distance.mic}
-\alias{mean_amr_distance.disk}
 \alias{mean_amr_distance.rsi}
 \alias{mean_amr_distance.data.frame}
 \alias{amr_distance_from_row}
-\title{Mean AMR Distance}
+\title{Calculate the Mean AMR Distance}
 \usage{
 mean_amr_distance(x, ...)
 
-\method{mean_amr_distance}{default}(x, ...)
-
-\method{mean_amr_distance}{mic}(x, ...)
-
-\method{mean_amr_distance}{disk}(x, ...)
-
 \method{mean_amr_distance}{rsi}(x, ..., combine_SI = TRUE)
 
 \method{mean_amr_distance}{data.frame}(x, ..., combine_SI = TRUE)
@@ -27,7 +18,7 @@ amr_distance_from_row(amr_distance, row)
 \arguments{
 \item{x}{a vector of class \link[=as.rsi]{rsi}, \link[=as.rsi]{rsi} or \link[=as.rsi]{rsi}, or a \link{data.frame} containing columns of any of these classes}
 
-\item{...}{variables to select (supports tidy selection such as \code{column1:column4} and \code{\link[tidyselect:language]{where(is.mic)}}), and can thus also be \link[=ab_selector]{antibiotic selectors}}
+\item{...}{variables to select (supports \link[tidyselect:language]{tidyselect language} such as \code{column1:column4} and \code{where(is.mic)}, and can thus also be \link[=ab_selector]{antibiotic selectors}}
 
 \item{combine_SI}{a \link{logical} to indicate whether all values of S and I must be merged into one, so the input only consists of S+I vs. R (susceptible vs. resistant), defaults to \code{TRUE}}
 
@@ -36,7 +27,7 @@ amr_distance_from_row(amr_distance, row)
 \item{row}{an index, such as a row number}
 }
 \description{
-This function calculates a normalised mean for antimicrobial resistance between multiple observations.
+Calculates a normalised mean for antimicrobial resistance between multiple observations, to help to identify similar isolates without comparing antibiograms by hand.
 }
 \details{
 The mean AMR distance is a normalised numeric value to compare AMR test results and can help to identify similar isolates, without comparing antibiograms by hand. For common numeric data this distance is equal to \href{https://en.wikipedia.org/wiki/Standard_score}{Z scores} (the number of standard deviations from the mean).