Update data

Time to update your data file with new data. Copy this data and append it to data/data.csv in your repo:

period BA DM DO DS NA OL OT PB PE PF PH PI PL PM PP RF RM RO SF SH SO
451 0 35 12 1 1 2 2 4 0 5 0 0 0 0 84 0 0 0 1 0 0
452 0 30 12 1 1 1 4 6 3 2 0 0 0 0 93 0 0 0 0 0 0
453 0 34 9 0 3 2 4 6 5 1 0 0 0 0 76 0 0 0 0 0 0
454 0 34 5 1 3 1 7 5 5 0 0 0 0 0 38 0 0 0 0 0 0
455 0 42 6 1 4 2 10 5 5 0 0 0 1 0 9 0 0 0 0 1 0
458 0 61 16 1 5 1 9 1 4 0 0 0 4 3 0 0 11 2 0 3 0
459 0 62 20 1 7 0 6 2 6 0 0 0 5 2 2 1 10 2 0 1 0
460 0 55 17 0 0 3 11 1 11 0 0 0 3 4 44 0 10 4 0 0 0
461 0 63 19 0 6 2 8 2 11 1 0 0 2 1 44 1 1 0 0 8 0
4620 0 44 24 0 5 1 11 5 10 1 1 0 1 0 92 0 1 1 0 0 0
463 0 33 7 1 7 0 8 2 2 1 2 0 0 0 108 0 0 0 0 2 0
465 0 33 9 0 1 0 15 8 2 0 1 0 0 0 158 1 0 0 0 0 0
466 0 42 7 0 6 0 15 6 1 0 1 0 0 0 213 0 0 0 0 0 0
467 0 41 5 1 6 0 26 5 9 0 2 0 1 1 94 0 1 0 0 1 0

This is more rodent abundance data from Portal, from more recent sampling periods.

  1. Add, commit, and push your changes.

  2. Check that your changes are on GitHub and that your tests are passing on Travis. (It may take a few moments for your checks to run). Screenshot of failed Travis build The data we just added caused the tests to fail! Specifically, the period values contain an error. Screenshot of failed Travis log

  3. Let’s open our data in R to find the lines with the error.

  rodent_data <- read.csv('data/data.csv')
  
  rodent_data[ which(rodent_data$period > 1000), ]
  
  > period BA DM DO DS NA. OL OT PB PE PF PH PI PL PM PP RF RM RO SF SH SO
  20   4620  0 44 24  0   5  1 11  5 10  1  1  0  1  0 92  0  1  1  0  0  0

On line 20, the period is 4620. Correct this to 462 and re-save the data:

  rodent_data$period[20] <- 462

  write.csv(rodent_data, 'data/data.csv', row.names = F)

  1. Add, commit, and push your results.

  2. Go to GitHub and Travis and check that the new data has been added and the tests are all now passing. Screenshot of fixed Travis build