fast_check.R failing

I'm new to R, so I do not have a great ability to debug issues yet. After setting up the R environment on Xubuntu and OSX, I keep running into the same issues when running fast_check.R as well as the script for the first chapter.

Checking Chapter 1 - Introduction

`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
Error in strsplit(unitspec, " ") : non-character argument
Calls: source ... fullseq.Date -> seq -> floor_date -> parse_unit_spec -> strsplit
In addition: Warning message:
Removed 1 rows containing non-finite values (stat_bin). 
Execution halted

Here's my R version:
R version 3.2.3 (2015-12-10) -- "Wooden Christmas-Tree"

Is there a preferred environment/version for running the sample code, or am I really missing something?

[johnmyleswhite]

The current code is out-of-date as R libraries have changed a lot since we released the book. We will try to update it when we have a chance.

I don't suppose you know versions that the code will run on? Could probably find a way to install old versions in the mean time.

[johnmyleswhite]

No, but the code ran correctly when the book was released in February 2012.

[junkor]

I found if I change the code to :

quick.hist <- ggplot(ufo.us, aes(x = DateReported)) +
  geom_histogram() + scale_x_date(date_breaks = "10 years", date_labels = "%Y") 

I can get a nice plot. (with R version 3.3.1)

[Morgan-Leon]

I have the same issue with R version 3.4.1 (2017-06-30) in x86_64-w64-mingw32 ：
Error in strsplit(unitspec, " ") : non-character argument

The problem lies in the ggplot function scale_x_date. In the original code this is coded as:

quick.hist <- ggplot(ufo.us, aes(x = DateOccurred)) +
  geom_histogram() + 
  scale_x_date(breaks = "50 years")

The breaks in scale_x_date has been adjusted to date_breaks. If you adjust the code to the following it works.

quick.hist <- ggplot(ufo.us, aes(x = DateOccurred)) +
  geom_histogram() + 
  scale_x_date(date_breaks = "50 years", date_labels = "%Y")

In the rest of the code where you see ggplot and scale_x_date, you will have to adjust the breaks into date_breaks.

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