Merge pull request #127 from molgenis/fix/english

docs: updated English

.circleci/config.yml

@@ -46,7 +46,7 @@ jobs:
     - run:
         name: Install R deps takes 15min, but no worries we skipinstalled from cache when this PR has installed them before
         command: |
-          install2.r --skipinstalled --repo https://cloud.r-project.org pkgdown markdown rmarkdown mockery webmockr httr urltools xml2 arrow MolgenisAuth DSMolgenisArmadillo git2r ellipsis vctrs covr desc rlist httr2 devtools
+          install2.r --skipinstalled --repo https://cloud.r-project.org utils pkgdown markdown rmarkdown mockery webmockr httr urltools xml2 arrow MolgenisAuth DSMolgenisArmadillo git2r ellipsis vctrs covr desc rlist httr2 devtools
           install2.r --repo https://cloud.r-project.org testthat
           Rscript -e "git2r::config(user.email = '[email protected]', user.name = 'MOLGENIS Jenkins')"
 

CONTRIBUTING.md

@@ -10,7 +10,7 @@ When fixing bugs or adding features we need you to state what it is in one of yo
 
 - bug: fixing out of memory
   > This will increment the bug number (third) from the version number 1.2.3 to 1.2.4
-- feat: adding new function
+- feat: adding new functionality
   > This will increment the minor number (second) from the version number 1.2.3 to 1.3.3
 - breaking: comply to new upstream version of X
   > This will increment the major number (first) from the version number 1.2.3 to 1.3.3

README.Rmd

@@ -25,10 +25,6 @@ Client to share data in a [MOLGENIS Armadillo DataSHIELD Service](https://github
 ## Purpose
 This library can be used by data managers to share datasets on a
 MOLGENIS Armadillo server.
-Researchers can then analyse these datasets and datasets shared on other servers
-using DataSHIELD.
-Researchers will only be able to access aggregate information and cannot see
-individual rows.
 
 ## Overview
 The datasets are stored in shared folders on a MinIO file store. The MOLGENIS
@@ -56,7 +52,7 @@ Listing the tables.
 armadillo.list_tables("project")
 ```
 
-Removing the data from the storage. First you need to remove the content of a project before you can throw away the project.
+Removing the data from the storage. First you need to remove the content of a project before you can delete the project.
 ``` R
 armadillo.delete_table("project", "folder", "iris")
 armadillo.delete_project("project")