SQL 2016 with R - Error HRESULT 0x80004004

I am working through a number of tutorials on using SQL and R. But when I am trying to Run the R Script to obtain the 'ggplot' library I am getting the following error

Msg 39004, Level 16, State 20, Line 1
A 'R' script error occurred during execution of 'sp_execute_external_script' with HRESULT 0x80004004.
Msg 39019, Level 16, State 1, Line 1
An external script error occurred: 
Error in library("ggplot2") : there is no package called 'ggplot2'
Calls: source -> withVisible -> eval -> eval -> library

Error in ScaleR.  Check the output for more information.
Error in eval(expr, envir, enclos) : 
Error in ScaleR.  Check the output for more information.
Calls: source -> withVisible -> eval -> eval -> .Call
Execution halted

(0 row(s) affected)

The Original Script is

INSERT INTO chartBinary (binData)
EXEC sp_execute_external_script
@language = N'R',
@script = N'
library("ggplot2");
img <- inputDataSet;
image_file = tempfile();
png(filename = image_file, width=800, height=600);
print(ggplot(img, aes(x = AirportID, y = WindSpeed)) +
labs(x = "Airport ID", y = "Wind Speed") +
theme(axis.text.x = element_text(angle=90, hjust=1, vjust=0)) +
geom_point(stat = "identity") +
geom_smooth(method = "loess", aes(group = 1)) +
geom_text(aes(label = AirportID), size = 3, vjust = 1.0) +
geom_text(aes(label = round(WindSpeed, digits = 2)), size = 3, vjust = 2.0));
dev.off();
OutputDataset <- data.frame(data=readBin(file(image_file,"rb"),what=raw(),n=1e6));',
@input_data_1 = N'SELECT AirportID, AVG(CONVERT(float, WindSpeed)) as   WindSpeed 
FROM
[Weather_Sample] GROUP BY AirportID ORDER BY AirportID;',
@input_data_1_name = N'inputDataSet',
@output_data_1_name = N'OutputDataset';

The system has SQL 2016, SSMS 2017, MS R Open 3.4.0 The integration with R works well with Visual Studio 2015 and has no errors. Can download library packages and run the scripts with no errors. Only when I start using SMSS I am unable to download packages

You will need to install the ggplot2 package to the SQL Server instance. There are various ways to install unavailable R packages to the SQL Server instance.

You will choose the method suitable for you depending on your setup.

If you are working on a local machine then you would want to download the Windows Binaries (zip file) of the package and install using T-SQL.

Check here: Install additional R packages on SQL Server