diff --git a/R/multi_gene_pca.R b/R/multi_gene_pca.R
index 403ff2b3..6a4521ba 100644
--- a/R/multi_gene_pca.R
+++ b/R/multi_gene_pca.R
@@ -16,7 +16,7 @@
 #' @author Nicholas J. Eagles
 #' @importFrom stats prcomp
 #' @family functions for summarizing expression of multiple continuous variables simultaneously
-multi_gene_z_score <- function(cont_mat) {
+multi_gene_pca <- function(cont_mat) {
     pc_exp <- stats::prcomp(cont_mat, center = TRUE, scale = TRUE)
     pc_vec <- pc_exp$x[, "PC1"]
 
diff --git a/R/multi_gene_sparsity.R b/R/multi_gene_sparsity.R
index 037254c0..0ae47e19 100644
--- a/R/multi_gene_sparsity.R
+++ b/R/multi_gene_sparsity.R
@@ -12,6 +12,6 @@
 #' @author Nicholas J. Eagles
 #' @import MatrixGenerics
 #' @family functions for summarizing expression of multiple continuous variables simultaneously
-multi_gene_z_score <- function(cont_mat) {
+multi_gene_sparsity <- function(cont_mat) {
     return(rowMeans(cont_mat > 0))
 }
diff --git a/man/multi_gene_pca.Rd b/man/multi_gene_pca.Rd
new file mode 100644
index 00000000..364394c6
--- /dev/null
+++ b/man/multi_gene_pca.Rd
@@ -0,0 +1,33 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/multi_gene_pca.R
+\name{multi_gene_pca}
+\alias{multi_gene_pca}
+\title{Combine multiple continuous variables through PCA}
+\usage{
+multi_gene_pca(cont_mat)
+}
+\arguments{
+\item{cont_mat}{A \code{matrix()} with spots as rows and 2 or more continuous
+variables as columns.}
+}
+\value{
+A \code{numeric()} vector with one element per spot, summarizing the
+multiple continuous variables.
+}
+\description{
+PCA is performed on \code{cont_mat}, the matrix of multiple continuous
+features. The first PC is returned, representing the dominant spatial
+signature of the feature set. Its direction is negated if necessary so that
+the majority of coefficients across features are positive (when the features
+are highly correlated, this encourages spots with higher values to
+represent areas of higher expression of the features).
+}
+\seealso{
+Other functions for summarizing expression of multiple continuous variables simultaneously: 
+\code{\link{multi_gene_sparsity}()},
+\code{\link{multi_gene_z_score}()}
+}
+\author{
+Nicholas J. Eagles
+}
+\concept{functions for summarizing expression of multiple continuous variables simultaneously}
diff --git a/man/multi_gene_sparsity.Rd b/man/multi_gene_sparsity.Rd
new file mode 100644
index 00000000..31ca2a0b
--- /dev/null
+++ b/man/multi_gene_sparsity.Rd
@@ -0,0 +1,29 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/multi_gene_sparsity.R
+\name{multi_gene_sparsity}
+\alias{multi_gene_sparsity}
+\title{Combine multiple continuous variables by proportion of positive values}
+\usage{
+multi_gene_sparsity(cont_mat)
+}
+\arguments{
+\item{cont_mat}{A \code{matrix()} with spots as rows and 2 or more continuous
+variables as columns.}
+}
+\value{
+A \code{numeric()} vector with one element per spot, summarizing the
+multiple continuous variables.
+}
+\description{
+To summarize multiple features, the proportion of features with positive
+values for each spot is computed.
+}
+\seealso{
+Other functions for summarizing expression of multiple continuous variables simultaneously: 
+\code{\link{multi_gene_pca}()},
+\code{\link{multi_gene_z_score}()}
+}
+\author{
+Nicholas J. Eagles
+}
+\concept{functions for summarizing expression of multiple continuous variables simultaneously}
diff --git a/man/multi_gene_z_score.Rd b/man/multi_gene_z_score.Rd
index 8c94a369..6869e53d 100644
--- a/man/multi_gene_z_score.Rd
+++ b/man/multi_gene_z_score.Rd
@@ -1,14 +1,9 @@
 % Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/multi_gene_pca.R, R/multi_gene_sparsity.R,
-%   R/multi_gene_z_score.R
+% Please edit documentation in R/multi_gene_z_score.R
 \name{multi_gene_z_score}
 \alias{multi_gene_z_score}
-\title{Combine multiple continuous variables through PCA}
+\title{Combine multiple continuous variables by averaging Z scores}
 \usage{
-multi_gene_z_score(cont_mat)
-
-multi_gene_z_score(cont_mat)
-
 multi_gene_z_score(cont_mat)
 }
 \arguments{
@@ -16,29 +11,18 @@ multi_gene_z_score(cont_mat)
 variables as columns.}
 }
 \value{
-A \code{numeric()} vector with one element per spot, summarizing the
-multiple continuous variables.
-
-A \code{numeric()} vector with one element per spot, summarizing the
-multiple continuous variables.
-
 A \code{numeric()} vector with one element per spot, summarizing the
 multiple continuous variables.
 }
 \description{
-PCA is performed on \code{cont_mat}, the matrix of multiple continuous
-features. The first PC is returned, representing the dominant spatial
-signature of the feature set. Its direction is negated if necessary so that
-the majority of coefficients across features are positive (when the features
-are highly correlated, this encourages spots with higher values to
-represent areas of higher expression of the features).
-
-To summarize multiple features, the proportion of features with positive
-values for each spot is computed.
-
 To summarize multiple features, each is normalized to represent a Z-score.
 Scores are averaged to return a single vector.
 }
+\seealso{
+Other functions for summarizing expression of multiple continuous variables simultaneously: 
+\code{\link{multi_gene_pca}()},
+\code{\link{multi_gene_sparsity}()}
+}
 \author{
 Nicholas J. Eagles
 }