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liamjberrisfordliamjberrisford
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Merge pull request #115 from coding-for-reproducible-research/basic-editing
Making basic changes to the quiz files
2 parents 8753d85 + a92634c commit 2e6662a

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3 files changed

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-26
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3 files changed

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-26
lines changed

‎where_is_my_understanding/quizes/intro_to_r.json

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -139,7 +139,7 @@
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"feedback": "correct."
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},
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{
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"answer": "Shows the last few rows of a dataset.",
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"answer": "Shows only the column names of a dataset.",
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"correct": false,
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"feedback": "incorrect."
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},
@@ -177,7 +177,7 @@
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]
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},
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{
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"question": "Which package is primarily used for data manipulation in R?",
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"question": "Which tidyverse package is primarily used for data manipulation in R?",
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"type": "many_choice",
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"answers": [
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{
@@ -203,7 +203,7 @@
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]
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},
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{
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"question": "How cna you add a title to a plot in R?",
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"question": "How can you add a title to a plot in Base R?",
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"type": "many_choice",
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"answers": [
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{
@@ -233,12 +233,12 @@
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"type": "many_choice",
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"answers": [
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{
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"answer": "Separate data, scripts, and documents intro respetive folders.",
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"answer": "Separate data, scripts, and documents into respective folders.",
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"correct": true,
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"feedback": "correct."
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},
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{
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"answer": "Keep everything in one folder.",
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"answer": "Keep all files in one folder.",
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"correct": false,
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"feedback": "Incorrect."
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},

‎where_is_my_understanding/quizes/regression_analysis_with_R.json

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -9,7 +9,7 @@
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"feedback": "Incorrect."
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},
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{
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"answer": "Predicition",
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"answer": "Making predictions",
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"correct": true,
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"feedback": "Correct."
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},
@@ -30,22 +30,22 @@
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"type": "many_choice",
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"answers": [
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{
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"answer": "One indepdent variable and one dependent variable",
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"answer": "One independent variable and one dependent variable",
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"correct": true,
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"feedback": "Correct."
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},
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{
38-
"answer": "Two indepdent variables and one dependent variable",
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"answer": "Two independent variables and one dependent variable",
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"correct": false,
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"feedback": "Incorrect."
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},
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{
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"answer": "One indepdent variable and two dependent variables",
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"answer": "One independent variable and two dependent variables",
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"correct": false,
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"feedback": "Incorrect."
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},
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{
48-
"answer": "Two indepdent variables and two dependent variables",
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"answer": "Two independent variables and two dependent variables",
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"correct": false,
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"feedback": "Incorrect."
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}

‎where_is_my_understanding/quizes/working_with_data_in_r.json

Lines changed: 16 additions & 16 deletions
Original file line numberDiff line numberDiff line change
@@ -78,7 +78,7 @@
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]
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},
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{
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"question": "How would you filter out rows where the colun `sex` has missing data in `dplyr`?",
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"question": "How would you use 'dplyr' to remove rows where the column `sex` has missing data?",
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"type": "many_choice",
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"answers": [
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{
@@ -104,26 +104,26 @@
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]
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},
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{
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"question": "How would you extract data for Gentoo penguins with weight between 4.8kg and 5.2kg (inclusive) using `dplyr?`",
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"question": "How would you use `dplyr` to extract data for Gentoo penguins with weight between 4.8kg and 5.2kg (inclusive)?",
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"type": "many_choice",
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"answers": [
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{
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"answer": "`dplyr::filter(penguins, species == 'Gentoo', 4800 <= body_mass_g & body_mass_g <= 5200)`",
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"answer": "`dplyr::filter(penguins, species == 'Gentoo', body_mass_g >= 4800 & body_mass_g <= 5200)`",
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"correct": true,
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"feedback": "correct."
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},
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{
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"answer": "`dplyr::filter(penguins, species == 'Gentoo', 4.8 <= body_mass_kg & body_mass_kg <= 5.2)`",
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"answer": "`dplyr::filter(penguins, species == 'Gentoo', body_mass_g >= 4800 && body_mass_g <= 5200)`",
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"correct": false,
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"feedback": "incorrect."
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},
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{
121-
"answer": "`dplyr::filter(penguins, species == 'Gentoo', 4.8 <= body_mass_g & body_mass_g <= 5.2)`",
121+
"answer": "`dplyr::filter(penguins$Gentoo, body_mass_g >= 4800 & body_mass_g <= 5200)`",
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"correct": false,
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"feedback": "incorrect."
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},
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{
126-
"answer": "`dplyr::filter(penguins, species == 'Gentoo', 480 <= body_mass_g & body_mass_g <= 520)`",
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"answer": "`dplyr::filter(penguins, species == 'Gentoo', body_mass_g > 4800 & body_mass_g < 5200)`",
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"correct": false,
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"feedback": "incorrect."
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}
@@ -182,7 +182,7 @@
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]
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},
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{
185-
"question": "How can you transform a column to the interger type?",
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"question": "How can you transform a column to the integer type?",
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"type": "many_choice",
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"answers": [
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{
@@ -208,13 +208,13 @@
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]
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},
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{
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"question": "Which function is commonly used to reac a CSV file in R?",
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"question": "Which function is commonly used to read a CSV file in R?",
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"type": "many_choice",
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"answers": [
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{
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"answer": "`read.csv()`",
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"correct": false,
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"feedback": "incorrect."
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"feedback": "correct."
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},
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{
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"answer": "`read.table()`",
@@ -229,7 +229,7 @@
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{
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"answer": "`readr::read_csv()`",
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"correct": false,
232-
"feedback": "incorrect."
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"feedback": "correct."
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}
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]
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},
@@ -238,24 +238,24 @@
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"type": "many_choice",
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"answers": [
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{
241-
"answer": "`nrow(filter(penguins_subset, sex == 'male'))`",
241+
"answer": "`nrow(filter(penguins_subset, 'sex' == male))`",
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"correct": true,
243-
"feedback": "correct."
243+
"feedback": "incorrect."
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},
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{
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"answer": "`length(filter(penguins_subset, sex == 'male'))`",
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"correct": false,
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"feedback": "incorrect."
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},
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{
251-
"answer": "`nrow(filter(penguins_subset, gender == 'male'))`",
251+
"answer": "`count(filter(penguins_subset, sex == 'male'))`",
252252
"correct": false,
253-
"feedback": "incorrect."
253+
"feedback": "correct."
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},
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{
256-
"answer": "`length(filter(penguins_subset, gender == 'male'))`",
256+
"answer": "`nrow(filter(penguins_subset, sex == 'male'))`",
257257
"correct": false,
258-
"feedback": "incorrect."
258+
"feedback": "correct."
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}
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]
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},

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