Version Bump

Author: StevenMMortimer

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: rdfp
 Title: DoubleClick for Publishers API from R
-Version: 0.1.0.9000
-Date: 2018-03-27
+Version: 0.1.1
+Date: 2018-03-29
 Description: An implementation of Google's DoubleClick for Publishers API in R. 
     This package is automatically compiled from the API WSDLs (Web Service Description 
     Language) files to dictate how the API is structured. Theoretically, all API 

NEWS.md

@@ -1,9 +1,24 @@
-## rdfp 0.1.0.9000
+## rdfp 0.1.1.9000
+
+
+### Features
+
+  * Nothing yet!
+
+### Bug Fixes
+
+  * Nothing yet! 
+
+---
+
+## rdfp 0.1.1 [release](https://github.com/StevenMMortimer/rdfp/releases/tag/v0.1.1)
+
 
 ### Features
 
   * Upgraded to API version `v201802`
-  * Created more efficient parsers `parse_soap_response()`
+  * Created more efficient parsers `parse_soap_response()`. Warning: This will cause 
+  some breaking changes because how certain results are returned may be different.
 
 ### Bug Fixes
 

docs/NEWS.html

@@ -115,7 +115,6 @@ named `dfp_full_report_wrapper` manages all aspects of reporting, so this level
 detail is not needed unless the wrapper service does not quite fit your needs.
 
 ```{r eval = FALSE}
-
 # create a reportJob object
 # reportJobs consist of a reportQuery
 # Documentation for the reportQuery object can be found in R using 
@@ -126,9 +125,7 @@ request_data <- list(reportJob=list(reportQuery=list(dimensions='MONTH_AND_YEAR'
                                                      dimensions='AD_UNIT_ID',
                                                      adUnitView='FLAT',
                                                      columns='TOTAL_INVENTORY_LEVEL_IMPRESSIONS', 
-                                                     startDate=list(year=2018, month=10, day=1),
-                                                     endDate=list(year=2018, month=10, day=31),
-                                                     dateRangeType='CUSTOM_DATE'
+                                                     dateRangeType='LAST_WEEK'
                                                      )))
 
 # the result is a list and most importantly the ID is included for checking its status
@@ -160,5 +157,4 @@ dfp_getReportDownloadURL_result <- dfp_getReportDownloadURL(request_data)
 report_dat <- dfp_report_url_to_dataframe(report_url=dfp_getReportDownloadURL_result, 
                                           exportFormat='CSV_DUMP')
 head(report_dat)
-
 ```