fixes

R/method-filterFeatures.R

@@ -77,7 +77,6 @@
 #'
 #' ## Load a test data set with features defined.
 #' test_xcms <- loadXcmsData()
-#'
 #' ## Set up parameter to filter based on coefficient of variation. By setting
 #' ## the filter such as below, features that have a coefficient of variation
 #' ## superior to 0.3 in QC samples will be removed from the object `test_xcms`
@@ -88,7 +87,6 @@
 #'
 #' filtered_data_rsd <- filterFeatures(object = test_xcms, filter = rsd_filter)
 #'
-#'
 #' ## Set up parameter to filter based on D-ratio. By setting the filter such
 #' ## as below, features that have a D-ratio computed based on their abundance
 #' ## between QC and study samples superior to 0.5 will be removed from the

vignettes/xcms.Rmd

@@ -1124,12 +1124,12 @@ The `filter` argument can accommodate various types of input, each determining t
 specific type of quality assessment and filtering to be performed.
 
 The `RsdFilter` enable users to filter features based on their relative
-standard deviation (coefficient of vairation) for a specified `threshold`. It
+standard deviation (coefficient of variation) for a specified `threshold`. It
 is recommended to base the computation on quality control (QC) samples,
 as demonstrated below:
 
 ```{r}
-# Set up parameters for RsdFilter
+# Set up parameters for RsdFilter 
 rsd_filter <- RsdFilter(threshold = 0.3,
                         qcIndex = sampleData(faahko)$sample_type == "QC")