updating readme to better reflect changes

README.md

@@ -111,7 +111,7 @@ To demonstrate the functionality, flexibility, and scalability of the MetaboAnal
 
 ## Tutorials
 
-For detailed tutorials on how to use MetaboAnalystR 2.0, please refer to the R package vignettes. These vignettes include detailed step-by-step workflows with example data for each of the main MetaboAnalytR 2.0 modules (11), a case-study showcasing the new end-to-end functionality of MetaboAnalystR 2.0, as well as an example that demonstrates the ease of using XCMS and MetaboAnalystR 1.0 for a holisitic metabolomic data analysis (deprecated). 
+For detailed tutorials on how to use MetaboAnalystR 2.0, please refer to the R package vignettes. These vignettes include detailed step-by-step workflows with example data for each of the main MetaboAnalytR 2.0 modules (11), a case-study showcasing the new end-to-end functionality of MetaboAnalystR 2.0, as well as an example that demonstrates the ease of using XCMS and MetaboAnalystR 1.0 for a holisitic metabolomic data analysis (deprecated). Note, the functions below work only if the R package vignettes were built. 
 
 Within R:
 ```R
@@ -143,9 +143,9 @@ To inform us of any bugs or requests, please open a new issue or send an email t
 
 ## MetaboAnalystR History & Updates
 
-03-05-2019 - Version Update: 2.0.0! - 
+03-05-2019 - Version Update: 2.0.0! - added function for graphical integration of results from mummichog and fGSEA, added new tutorial with example data from the fecal metabolome of IBD patients
 
-03-03-2019 - Version Update: 1.0.4 - added fGSEA for mummichog, major release coming soon after bug fixes
+03-03-2019 - Version Update: 1.0.4 - added support for pathway activity prediction using fGSEA; major release coming soon after bug fixes
 
 02-11-2019 - Version Update: 1.0.3 - updated underlying R code w. changes to MetaboAnalyst 4.53 + updated documentation
 

vignettes/MetaboAnalystR_2_Workflow_From_Raw_Spectra_to_Biological_Insights.Rmd

@@ -40,7 +40,7 @@ setwd("~/Desktop/iHMP/")
 library("MetaboAnalystR")
 
 # Import mzML files
-rawData <- ImportRawMSData(grpA = "Healthy", numA = 5, grpB = "IBD", numB = 5, 
+rawData <- ImportRawMSData(grpA = "Healthy", numA = 6, grpB = "IBD", numB = 6, 
                             format = "png", dpi = 72, width = 9)
 
 ```