Figure 2.3 shows the
editor as it appears after we have typed the above commands
into the RScript file in the top left pane. We have sent
the commands to the RConsole to have it run by R. We
have done this by ensuring the cursor within the RScript
editor is on the same line as the command to be run and then clicking
the Run button. We will notice that the command is sent to
the RConsole in the bottom left pane and the cursor
advances to the next line within the RScript editor.
After each command is run any text output by the command is displayed
in the RConsole whilst graphic output is displayed in the
Plots tab of the bottom right pane.
This is now our first program in R. We can now provide our first
observations of the data. It is not too hard to see from the plot that
there appears to be quite a strong relationship between the minimum
temperature and the maximum temperature: with higher values of the
minimum temperature recorded on any particular day we see higher
values of the maximum temperature. There is also a clear lower
boundary that might suggest, as logic would dictate, that the maximum
temperature can not be less than the minimum temperature. If we were
to observe data points below this line then we would begin to explore
issues with the quality of the data.
As data scientists we have begun our observation and understanding of
the data, taking our first steps toward immersing ourselves in and
thereby beginning to understand the data.
commands in . The R programming code is written into
a file using the editor in the top left pane. With the cursor on
the line containing the code we click the Run button to
pass the code on to the RConsole to have it run by
the R Interpreter to produce the plot we see in the bottom