# Descriptives --------------------------------------------------------------------------------
# count_data() --------------------------------------------------------------------------------
# Total N
count_data(cox)
# 1 categorical variable
count_data(cox, condition)
# 2 categorical variables
count_data(cox, condition, sex)
# 1 categorical variable, 1 grouping variable
cox %>%
group_by(sex) %>%
count_data(condition)
# tidy_count_data() ---------------------------------------------------------------------------
# Total N
count_data(cox) %>%
tidy_count_data()
# 1 categorical variable
count_data(cox, condition) %>%
tidy_count_data()
# 2 categorical variables
count_data(cox, condition, sex) %>%
tidy_count_data()
# 1 categorical variable, 1 grouping variable
cox %>%
group_by(sex) %>%
count_data(condition) %>%
tidy_count_data()
# describe_data() -----------------------------------------------------------------------------
# 0 variables
describe_data(cox)
# 1 variable
describe_data(cox, avoidance)
# 2 variables
describe_data(cox, avoidance, anxiety)
# 1 variable, 1 group
cox %>%
group_by(condition) %>%
describe_data(avoidance)
# 2 variables, 1 group
cox %>%
group_by(condition) %>%
describe_data(avoidance, anxiety)
# 1 variable, 2 groups
cox %>%
group_by(condition, sex) %>%
describe_data(avoidance)
# 2 variables, 2 groups
cox %>%
group_by(condition, sex) %>%
describe_data(avoidance, anxiety)
# tidy_describe_data() ------------------------------------------------------------------------
# 1 variable
describe_data(cox, avoidance) %>%
tidy_describe_data()
# 2 variables
describe_data(cox, avoidance, anxiety) %>%
tidy_describe_data()
# 1 variable, 1 group
cox %>%
group_by(condition) %>%
describe_data(avoidance) %>%
tidy_describe_data()
# 2 variables, 1 group
cox %>%
group_by(condition) %>%
describe_data(avoidance, anxiety) %>%
tidy_describe_data()
# 1 variable, 2 groups
cox %>%
group_by(condition, sex) %>%
describe_data(avoidance) %>%
tidy_describe_data()
# 2 variables, 2 groups
cox %>%
group_by(condition, sex) %>%
describe_data(avoidance, anxiety) %>%
tidy_describe_data()
# add_stats(): Descriptives -------------------------------------------------------------------
# Count data
# 1 var
results <- cox %>%
count_data(condition) %>%
tidy_count_data() %>%
add_stats(results, identifier = "D1_cox_condition", type = "d")
# 2 vars
results <- cox %>%
count_data(condition, sex) %>%
tidy_count_data() %>%
add_stats(results, identifier = "D2_condition_sex", type = "d")
# 1 var, 1 group
results <- cox %>%
group_by(sex) %>%
count_data(condition) %>%
tidy_count_data() %>%
add_stats(results, identifier = "D3_condition_by_sex", type = "d")
# Non-count data
# 1 var
results <- cox %>%
describe_data(avoidance) %>%
tidy_describe_data() %>%
add_stats(results, identifier = "D4_avoidance", type = "d")
# 2 vars
results <- cox %>%
describe_data(avoidance, anxiety) %>%
tidy_describe_data() %>%
add_stats(results, identifier = "D5_avoidance_anxiety", type = "d",
statistics = c("n", "M", "SD", "min", "max"))
# 1 var, 1 group
results <- cox %>%
group_by(condition) %>%
describe_data(avoidance) %>%
tidy_describe_data() %>%
add_stats(results, identifier = "D6_avoidance_by_condition", type = "d",
statistics = c("n", "M", "SD", "min", "max"))
# 2 vars, 2 groups
results <- cox %>%
group_by(condition, sex) %>%
describe_data(avoidance, anxiety) %>%
tidy_describe_data() %>%
add_stats(results, identifier = "D7_avoidance_anxiety_by_condition_sex", type = "d",
statistics = c("n", "M", "SD", "min", "max"))
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