Merge pull request #48 from Mu-Sigma/develop

Corrected a mistake in the description regarding SparkR installation
Mu-Sigma · Jan 3, 2019 · 0ea395f · 0ea395f
2 parents ab5cfd2 + 555096a
commit 0ea395f
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Showing 5 changed files with 5 additions and 5 deletions.
diff --git a/DESCRIPTION b/DESCRIPTION
@@ -16,7 +16,7 @@ Description: Enables data scientists to compose pipelines of analysis which cons
     Note - To enable pipelines involving Spark tasks, the package uses the 'SparkR' package. 
     The SparkR package needs to be installed to use Spark as an engine within a pipeline. SparkR is distributed natively with Apache Spark and is not distributed on CRAN. The SparkR version needs to directly map to the Spark version (hence the native distribution), and care needs to be taken to ensure that this is configured properly.
     To install SparkR from Github, run the following command if you know the Spark version: 'devtools::install_github('apache/spark@v2.x.x', subdir='R/pkg')'.
-    The other option is to install R by running the following terminal commands if Spark has already been installed: '$ export SPARK_HOME=/path/to/spark/directory && cd $SPARK_HOME/R/lib/SparkR/ && R -e "devtools::install('.')"'.
+    The other option is to install SparkR by running the following terminal commands if Spark has already been installed: '$ export SPARK_HOME=/path/to/spark/directory && cd $SPARK_HOME/R/lib/SparkR/ && R -e "devtools::install('.')"'.
 Depends: R (>= 3.4.0), magrittr, pipeR, methods
 Imports: ggplot2, dplyr, futile.logger, RCurl, rlang (>= 0.3.0), proto, purrr, devtools
 Suggests: plotly, knitr, rmarkdown, parallel, visNetwork, rjson, DT, shiny, R.devices, corrplot, car, foreign

diff --git a/R/analysisPipelines_package.R b/R/analysisPipelines_package.R
@@ -11,7 +11,7 @@
 #' \itemize{
 #' \item devtools::install_github('apache/spark@v2.x.x', subdir='R/pkg')
 #' }
-#' The other option is to install R by running the following terminal commands if Spark has already been installed:
+#' The other option is to install SparkR by running the following terminal commands if Spark has already been installed:
 #' \itemize{
 #' \item $ export SPARK_HOME=/path/to/spark/directory
 #' \item $ cd $SPARK_HOME/R/lib/SparkR/

diff --git a/man/analysisPipelines.Rd b/man/analysisPipelines.Rd
diff --git a/vignettes/Analysis_pipelines_for_working_with_sparkR.Rmd b/vignettes/Analysis_pipelines_for_working_with_sparkR.Rmd
@@ -25,7 +25,7 @@ To install from Github, run the following command, if you know the Spark version
 devtools::install_github('apache/spark@v2.x.x', subdir='R/pkg')
 ```
 
-The other option is to install R by running the following *terminal* commands if Spark has already been installed.
+The other option is to install SparkR by running the following *terminal* commands if Spark has already been installed.
 
 ```{bash eval = F}
 $ export SPARK_HOME=/path/to/spark/directory

diff --git a/vignettes/Streaming_pipelines_for_working_Apache_Spark_Structured_Streaming.Rmd b/vignettes/Streaming_pipelines_for_working_Apache_Spark_Structured_Streaming.Rmd
@@ -26,7 +26,7 @@ To install from Github, run the following command, if you know the Spark version
 devtools::install_github('apache/spark@v2.x.x', subdir='R/pkg')
 ```
 
-The other option is to install R by running the following *terminal* commands if Spark has already been installed.
+The other option is to install SparkR by running the following *terminal* commands if Spark has already been installed.
 
 ```{bash eval = F}
 $ export SPARK_HOME=/path/to/spark/directory