funModeling-package |
funModeling: Exploratory data analysis, data preparation and model performance |
auto_grouping |
Reduce cardinality in categorical variable by automatic grouping |
categ_analysis |
Profiling analysis of categorical vs. target variable |
compare_df |
Compare two data frames by keys |
concatenate_n_vars |
Concatenate 'N' variables |
convert_df_to_categoric |
Convert every column in a data frame to character |
coord_plot |
Coordinate plot |
correlation_table |
Get correlation against target variable |
cross_plot |
Cross-plotting input variable vs. target variable |
data_country |
People with flu data |
data_golf |
Play golf |
data_integrity |
Data integrity |
data_integrity_model |
Check data integrity model |
desc_groups |
Profiling categorical variable |
desc_groups_rank |
Profiling categorical variable (rank) |
df_status |
Get a summary for the given data frame (o vector). |
discretize_df |
Discretize a data frame |
discretize_get_bins |
Get the data frame thresholds for discretization |
discretize_rgr |
Variable discretization by gain ratio maximization |
entropy_2 |
Computes the entropy between two variables |
equal_freq |
Equal frequency binning |
export_plot |
Export plot to jpeg file |
fibonacci |
Fibonacci series |
freq |
Frequency table for categorical variables |
funModeling |
funModeling: Exploratory data analysis, data preparation and model performance |
gain_lift |
Generates lift and cumulative gain performance table and plot |
gain_ratio |
Gain ratio |
get_sample |
Sampling training and test data |
hampel_outlier |
Hampel Outlier Threshold |
heart_disease |
Heart Disease Data |
information_gain |
Information gain |
infor_magic |
Computes several information theory metrics between two vectors |
metadata_models |
Metadata models data integrity |
plotar |
Correlation plots |
plot_num |
Plotting numerical data |
prep_outliers |
Outliers Data Preparation |
profiling_num |
Profiling numerical data |
range01 |
Transform a variable into the [0-1] range |
status |
Get a summary for the given data frame (o vector). |
tukey_outlier |
Tukey Outlier Threshold |
var_rank_info |
Importance variable ranking based on information theory |
v_compare |
Compare two vectors |