| Function | Description |
|---|---|
| %within% | Test interval membership |
| abs | Absolute value |
| acos | Inverse cosine |
| acosh | Inverse hyperbolic cosine |
| add_diagnostics | Add Model Diagnostics |
| all_of | Select an explicit set of columns |
| am | Check whether a time is before noon |
| anova | Analysis of Variance (ANOVA) |
| anti_join | Filter rows lacking matches |
| any_of | Select columns that exist |
| apropos | Search for functions by keyword |
| args | Get function arguments and their types |
| arrange | Arrange rows |
| arrange_node | Arrange Pipeline Nodes |
| to_date | Convert values to Date |
| to_datetime | Convert values to Datetime |
| asin | Inverse sine |
| asinh | Inverse hyperbolic sine |
| assert | Assert Condition |
| assert_dir_exists | Assert Directory Exists |
| assert_file_exists | Assert File Exists |
| assert_non_empty_file | Assert File Is Non-Empty |
| assert_size_of_file | Assert File Size |
| atan | Inverse tangent |
| atan2 | Two-argument arctangent |
| atanh | Inverse hyperbolic tangent |
| add_diagnostics | Augment Data with Model Calculations |
| bind_cols | Combine DataFrames by columns |
| bind_rows | Stack DataFrames by rows |
| body | Get function body |
| build_pipeline | Build Pipeline Artifacts |
| build_pipeline_internal | Build Pipeline Internally |
| case_when | Vectorized Case-When |
| cat | Print values without escaping |
| cbind | Column bind matrices |
| ceiling | Ceiling function |
| ceiling_date | Round dates up |
| chain | Chain Two Pipelines |
| char_at | Get character at index |
| clean_colnames | Clean DataFrame Column Names |
| coef | Model Coefficients |
| col_lens | Create a Column Lens |
| colnames | Get column names |
| compare | Compare Models |
| compare_native_vs_pmml_scores | Compare native T scoring vs JPMML scoring |
| complete | Complete a data frame |
| compose | Compose Lenses |
| conf_int | Confidence Intervals for Model Coefficients |
| contains | Check if string contains substring |
| cor | Correlation |
| cos | Cosine |
| cosh | Hyperbolic cosine |
| count | Count rows by group |
| cov | Covariance |
| crossing | Create a data frame from all combinations of inputs |
| cumall | Cumulative All |
| cumany | Cumulative Any |
| cume_dist | Cumulative Distribution |
| cummax | Cumulative Maximum |
| cummean | Cumulative Mean |
| cummin | Cumulative Minimum |
| cumsum | Cumulative Sum |
| cut | Discretize numeric vector |
| cv | Coefficient of variation |
| to_dataframe | Create a DataFrame |
| day | Extract the day of month |
| days_in_month | Get the number of days in a month |
| dense_rank | Dense Rank |
| deserialize | Deserialize Value |
| deviance | Model Deviance |
| df_residual | Residual Degrees of Freedom |
| diag | Create or extract diagonal |
| difference | Subtract one pipeline from another |
| dir_exists | Check if directory exists |
| dispersion | Dispersion Parameter |
| distinct | Keep unique rows |
| downstream_of | Extract Downstream Subgraph |
| drop_na | Remove rows with missing values |
| ends_with | Check if string ends with suffix |
| enquo | Capture a function argument’s expression (non-standard evaluation) |
| enquos | Capture variadic argument expressions (non-standard evaluation) |
| env | Get environment variable |
| error | Raise Error |
| error_code | Get error code |
| error_context | Get error context |
| error_message | Get error message |
| errored_nodes | Get Errored Pipeline Nodes |
| eval | Evaluate a quoted expression or quosure |
| everything | Select every column |
| exit | Exit the interpreter |
| exp | Exponential function |
| expand | Create all combinations of values |
| explain | Explain Value |
| explain_json | Explain Value as JSON |
| expr | Capture an expression |
| exprs | |
| to_factor | Create to_factor values |
| fct_c | Concatenate to_factor vectors |
| fct_collapse | Collapse multiple levels |
| fct_drop | Drop unused to_factor levels |
| fct_expand | Add explicit to_factor levels |
| fct_infreq | Order to_factor levels by frequency |
| fct_lump_min | Lump to_factor levels below a minimum count |
| fct_lump_n | Keep the most frequent to_factor levels |
| fct_lump_prop | Lump to_factor levels below a minimum proportion |
| fct_other | Replace unlisted levels with Other |
| fct_recode | Rename to_factor levels |
| fct_relevel | Move selected levels to the front |
| fct_reorder | Order to_factor levels by another vector |
| fct_rev | Reverse to_factor levels |
| file_exists | Check if file exists |
| fill | Fill missing values |
| filter | Filter rows |
| filter_lens | Filter Lens |
| filter_node | Filter Pipeline Nodes |
| fit_stats | Model Goodness-of-Fit Statistics |
| fivenum | Five-number summary |
| floor | Floor function |
| floor_date | Round dates down |
| force_tz | Retag a datetime with a timezone |
| format_date | Format dates as strings |
| format_datetime | Format datetimes as strings |
| full_join | Join all rows from both tables |
| get | Unified Data Retrieval (get) |
| getwd | Get current working directory |
| glimpse | Glimpse DataFrame |
| greet | Greet someone |
| group_by | Group by columns |
| head | Get the first n rows/items |
| help | Display documentation for a function |
| hour | Extract the hour |
| huber_loss | Huber loss |
| identical | Deep Equality Check |
| idx_lens | Index Lens |
| ifelse | Vectorized If-Else |
| index_of | Find index of substring |
| inner_join | Join matching rows |
| inspect_node | Inspect Pipeline Node Metadata |
| inspect_log | Inspect Pipeline Build Logs |
| inspect_pipeline | Static Pipeline DAG Schema Inspection |
| intent_fields | Get All Intent Fields |
| intent_get | Get Intent Field |
| intersect | Keep shared pipeline nodes |
| interval | Create an interval |
| inv | Matrix inverse |
| iota | Create a vector of ones |
| iqr | Interquartile range |
| is_character | Check for character columns |
| is_empty | Check if string is empty |
| is_error | Check if a value is an Error |
| is_factor | Check for to_factor columns |
| is_leap_year | Check for leap years |
| is_logical | Check for logical columns |
| is_na | Check for NA |
| is_numeric | Check for numeric columns |
| isoweek | Extract the ISO week number |
| isoyear | Extract the ISO week-based year |