abtest | A/B testing |
abtest_shiny | A/B testing interactive |
abtest_targetnum | A/B testing comparing two mean |
abtest_targetpct | A/B testing comparing percent per group |
add_var_id | Add a variable id at first column in dataset |
add_var_random_01 | Add a random 0/1 variable to dataset |
add_var_random_cat | Add a random categorical variable to dataset |
add_var_random_dbl | Add a random double variable to dataset |
add_var_random_int | Add a random integer variable to dataset |
add_var_random_moon | Add a random moon variable to dataset |
add_var_random_starsign | Add a random starsign variable to dataset |
balance_target | Balance target variable |
check_vec_low_variance | Check vector for low variance |
clean_var | Clean variable |
count_pct | Adds percentage to dplyr::count() |
create_data_abtest | Create data of A/B testing |
create_data_app | Create data app |
create_data_buy | Create data buy |
create_data_churn | Create data churn |
create_data_empty | Create an empty dataset |
create_data_esoteric | Create data esoteric |
create_data_newsletter | Create data newsletter |
create_data_person | Create data person |
create_data_random | Create data random |
create_data_unfair | Create data unfair |
create_notebook_explore | Generate a notebook |
cut_vec_num_avg | Cut a variable |
data_dict_md | Create a data dictionary Markdown file |
decrypt | decrypt text |
describe | Describe a dataset or variable |
describe_all | Describe all variables of a dataset |
describe_cat | Describe categorical variable |
describe_num | Describe numerical variable |
describe_tbl | Describe table |
drop_obs_if | Drop all observations where expression is true |
drop_obs_with_na | Drop all observations with NA-values |
drop_var_by_names | Drop variables by name |
drop_var_low_variance | Drop all variables with low variance |
drop_var_not_numeric | Drop all not numeric variables |
drop_var_no_variance | Drop all variables with no variance |
drop_var_with_na | Drop all variables with NA-values |
encrypt | encrypt text |
explain_forest | Explain a target using Random Forest. |
explain_logreg | Explain a binary target using a logistic regression (glm).... |
explain_tree | Explain a target using a simple decision tree (classification... |
explain_xgboost | Explain a binary target using xgboost |
explore | Explore a dataset or variable |
explore_all | Explore all variables |
explore_bar | Explore categorical variable using bar charts |
explore_cor | Explore the correlation between two variables |
explore_count | Explore count data (categories + frequency) |
explore_density | Explore density of variable |
explore-package | explore: Simplifies Exploratory Data Analysis |
explore_shiny | Explore dataset interactive |
explore_targetpct | Explore variable + binary target (values 0/1) |
explore_tbl | Explore table |
format_num_auto | Format number as character string (auto) |
format_num_kMB | Format number as character string (kMB) |
format_num_space | Format number as character string (space as big.mark) |
format_target | Format target |
format_type | Format type description |
get_color | Get predefined colors |
get_nrow | Get number of rows for a grid plot |
get_type | Return type of variable |
get_var_buckets | Put variables into "buckets" to create a set of plots instead... |
guess_cat_num | Return if variable is categorical or numerical |
interact | Make a explore-plot interactive |
log_info_if | Log conditional |
mix_color | Mix colors |
plot_legend_targetpct | Plots a legend that can be used for explore_all with a binary... |
plot_text | Plot a text |
plot_var_info | Plot a variable info |
predict_target | Predict target using a trained model. |
replace_na_with | Replace NA |
report | Generate a report of all variables |
rescale01 | Rescales a numeric variable into values between 0 and 1 |
show_color | Show color vector as ggplot |
simplify_text | Simplifies a text string |
target_explore_cat | Explore categorical variable + target |
target_explore_num | Explore Nuberical variable + target |
total_fig_height | Get fig.height for RMarkdown-junk using explore_all() |
use_data_beer | Use the beer data set |
use_data_diamonds | Use the diamonds data set |
use_data_iris | Use the iris flower data set |
use_data_mpg | Use the mpg data set |
use_data_mtcars | Use the mtcars data set |
use_data_penguins | Use the penguins data set |
use_data_starwars | Use the starwars data set |
use_data_titanic | Use the titanic data set |
weight_target | Weight target variable |
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