removed any remnants of plotOutliers

MicTott · Apr 8, 2024 · 3caf40a · 3caf40a
1 parent 37b4095
commit 3caf40a
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Showing 4 changed files with 4 additions and 4 deletions.
diff --git a/R/localVariance.R b/R/localVariance.R
@@ -51,7 +51,7 @@
 #'     name = "local_mito_variance_k36"
 #'     )
 #'
-#' plotOutliers(spe, metric="local_mito_variance_k36")
+#' plotQC(spe, metric="local_mito_variance_k36")
 #'
 localVariance <- function(spe, n_neighbors = 36,
                           features = c("expr_chrM_ratio"),

diff --git a/man/findArtifacts.Rd b/man/findArtifacts.Rd
diff --git a/man/localVariance.Rd b/man/localVariance.Rd
diff --git a/vignettes/getting_started.Rmd b/vignettes/getting_started.Rmd
@@ -147,7 +147,7 @@ spe$local_outliers <- as.logical(spe$sum_outliers) |
 
 ### Visualizing local outliers
 
-We can visualize the local outliers using the `plotOutliers` function. This 
+We can visualize the local outliers using the `plotQC` function. This 
 function creates a scatter plot of the specified metric and highlights the 
 local outliers in red using the `escheR` package. Here, we'll visualize local 
 outliers of library size, unique genes, mitochondrial percent, and finally, all