Vignette: Corrected wording.

Version bump.
computational-metabolomics · Apr 26, 2020 · 2c1d013 · 2c1d013
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: pmp
 Type: Package
 Title: Peak Matrix Processing and signal batch correction for metabolomics datasets
-Version: 0.99.5
+Version: 0.99.6
 Author: Andris Jankevics and Ralf Johannes Maria Weber
 Maintainer: Andris Jankevics <[email protected]>
 Description: Methods and tools for (pre-)processing of metabolomics datasets

diff --git a/NEWS b/NEWS
@@ -1,4 +1,4 @@
-Changes 0.99.5
+Changes 0.99.6
 + Updated vignettes.
 
 Changes 0.99.2

diff --git a/vignettes/pmp_vignette_peak_matrix_processing_for_metabolomics_datasets.Rmd b/vignettes/pmp_vignette_peak_matrix_processing_for_metabolomics_datasets.Rmd
@@ -187,17 +187,12 @@ processing_history(MTBLS79_filtered)
 # Data normalisation
 
 Next, we will apply probabilistic quotient normalisation (PQN).
-PQN method.
 
 ```{r}
 MTBLS79_pqn_normalised <- pqn_normalisation(df=MTBLS79_filtered, 
     classes=MTBLS79_filtered$Class, qc_label="QC")
 ```
 
-normalisation the the total
-signal intensity methods are implemented for normalisation of biological
-variability across measured samples. Example below demonstrates how to apply 
-
 # Missing value imputation
 
 A unified function call for several commonly used missing value imputation