my_answers <- c('S+', 'C++', 'Python', 'Matlab', 'Javascript') #check_answers(my_answers)
Based on the study proposed earlier, create a directory structure on your computer to accommodate the study. Create mock files for each subdirectory (see directory structure at section \@ref(directories)). Be aware you can create mock files and direction all in R (see functions cat
and dir.create
).
exams::answerlist(my_answers, markup = "markdown")
library(fs) # set temp dir for solving exercise temp_dir <- path(tempdir(), 'Chapter 3 exercise') # create folder dir_create(temp_dir) # create files file_create(path(temp_dir, '01-import_data.R')) file_create(path(temp_dir, '02-clean_data.R')) file_create(path(temp_dir, '03-build_budget_table.R')) file_create(path(temp_dir, '04-build_investment_realstate_table.R')) file_create(path(temp_dir, '05-build_report.R')) # create dirs dir_create(path(temp_dir, 'data')) dir_create(path(temp_dir, 'tabs')) dir_create(path(temp_dir, 'figs')) # fill with files for (i_year in 2009:2019) { file_create(path(temp_dir, 'data', paste0('annual_budget_', i_year, '.xlsx')) ) } file_create(path(temp_dir, 'data', 'fixed_income_index.csv')) file_create(path(temp_dir, 'data', 'real_state_data.rds')) file_create(path(temp_dir, 'figs', 'Income_and_HousePrices.png')) file_create(path(temp_dir, 'tabs', 'Table_with_Results.xlsx')) dir_tree(temp_dir)
extype: string
exsolution: r mchoice2string(c(TRUE, FALSE, FALSE, FALSE, FALSE), single = TRUE)
exname: "folders"
exshuffle: TRUE
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