Created: 2017-07-20 12:34:18
Corrections, translations and additions are more than welcome for existing exercises that reside as yaml
-files in ./data
-folder. Yaml-format was chosen as it is easy to manually type even through Github website.
Each exercise block must contain, at minimum, the following fields
- id: extra_create_character_vector
domain: extra
lang_en: "Create a character vector containing words `one` and `two`"
ans: c("one", "two")
where,
col | description | optional |
---|---|---|
id |
must be a unique identifier for that exercise | required |
domain |
must refer to the domain exercise is part of. For clarity each domain has been splitted into its own file! | required |
grade |
a qualitative description of how challenging the exercise is like easy , moderate or difficult
|
optional |
lang_en |
the question in at least one language | at least one language required |
extra |
Some extra notation for the particular exercise, for instance a preformatted table of how the output should look like. | optional |
ans |
the correct answer | required |
For multiple languages and altertive correct answers you can do for instance:
- id: extra_data_structure_dataframe
domain: extra
grade: easy
lang_fi: "Luo data ydinasevaltioista, niiden presidenteistä/valtiopäämiehistä ja väestömäärästä (ks. https://en.wikipedia.org/wiki/List_of_states_with_nuclear_weapons)"
lang_en: "Create data of states with nuclear weapons, with presidents/heads of state and population (see https://en.wikipedia.org/wiki/List_of_states_with_nuclear_weapons)"
lang_se: "Skapa tabell över stater med kärnvapen, med presidenter och befolkning"
lang_ru: "Создать таблицу государств с ядерным оружием, с президентами и населением"
extra: |
## Data should look like this!
## country president population
## 1 United States Donald Trump 1234
## 2 Russian Federation Vladimir Putin 1234
## 3 France François Hollande 1234
## 4 United Kingdom Elisabeth II 1234
## 5 China Xi Jinping 1234
ans: |
data.frame(country = c('United States','Russian Federation','France','United Kingdom','China'),
president = c('Donald Trump','Vladimir Putin','François Hollande','Elisabeth II','Xi Jinping'),
population = c(1234,1234,1234,1234,1234),
stringsAsFactors=FALSE)
)
# Or
dplyr::data_frame(country = c('United States','Russian Federation','France','United Kingdom','China'),
president = c('Donald Trump','Vladimir Putin','François Hollande','Elisabeth II','Xi Jinping'),
population = c(1234,1234,1234,1234,1234))
)
tibble::tribble(
# Or
~country, ~president, ~population,
"United States","Donald Trump",1234,
"Russian Federation","Vladimir Putin",1234,
"United Kingdom","François Hollande",1234,
"France","Elisabeth II", 1234,
"China" ,"Xi Jinping", 1234
)
You can add you exercises into existing domains just by following the guidelines above. Leave the final line empty in the yaml-file! Please make a pull request into Github if you think they would benefit someone else too!
You must re-build the package to make the additions available.
To make the most out of your R-courses it is good idea to create your own set of questions spesific to your domain or organisation. If you think they are useful for other, please make a pull request and we will incorporate them with the package. If they are tailored for your organisations internal it-environment its probably better to keep them private and out of the public repositories.
To add a new domain with exercises just create a new yaml
-file in /data
folder and fill in the content in yaml-format such as:
- id: extra_unique_id_for_this_particular_exercise
domain: extra
grade: easy
lang_en: "How to shutdown R?"
lang_fi: "Miten sammuttaa R?"
lang_se: "Hur stänger du av R?"
lang_ru: "Как выключить R?"
lang_fr: "Comment arrêter R?"
lang_nl: "Hoe wordt de R uitgeschakeld?"
lang_de: "Wie man den R herunterfahren kann?"
ans: q()
Once you re-build the package the new domain with new exercises is at your disposal!