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Feature Request: step_ function for matrix indexing

1

## Feature This came up last week during the tidymodels workshop and Max suggest that I open an issue. Sometimes a dataset contains a mix of qualitative character variables and...

luisDVA

Allow finer control over variable name prefixes

4

For steps that create derived variables, such as from a date, the new variables are prefixed with the date column name: ``` library(tidymodels) d % step_holiday(date,holidays = c("LaborDay","ChristmasDay")) rec %>%...

joranE

Many of the themis steps needs to know which variables are predictors, steps like `step_lencode_glm()` needs to know what the outcome is. There should be a function here in {recipes}...

EmilHvitfeldt

This is the first PR that begins extending `recipes` into remote tables. The idea is to setup the infrastructure in the main functions, as well as to centralize support for...

edgararuiz

Feature Request: Recipe Step(s) to compute group-meaned and de-meaned variables

6

Now that {multilevelmod} is on CRAN, it would be great if we can have one or more recipe steps that compute group-meaned and de-meaned variables like the new {datawizard} functions...

AndrewKostandy

Consider options for error messages at `bake()` time about `skip = TRUE`

1

We have a good bit of documentation about skipping vs. not skipping: - https://www.tmwr.org/recipes.html#skip-equals-true - https://recipes.tidymodels.org/articles/Skipping.html - the individual function pages, etc However, people continue to have a hard time...

juliasilge

add_role limited to original variables and role argument limited to one role

3

Is it possible for derived variables to have multiple roles? This doesn't work: ``` recipe(HHV ~ ., data = biomass) %>% step_mutate(carbon_sqr = carbon ^ 2, role = "new") %>%...

gacolitti

Feature request: step_mca() or multiple correspondence analysis -- dimension reduction for categorical variables

2

Similar to `step_pca()` or `step_umap()` where it may be useful for dimensional reduction, `step_mca()` may seem useful for reducing dimensions for categorical predictors.

exsell-jc

[FR] Method to provide column to column mappings for steps that add/remove columns

3

Hi, Many `{recipes}` steps modify-in-place, so that the original column is modified in some way. A subset of steps will (*possibly*) add or remove columns (e.g. `step_pca()`, `step_ns()`, `step_dummy()`, etc.)....

mattwarkentin

step_lag() add a datetime index parameter so that lag is not carried over gaps in non continuous time series.

1

## Feature In situations when time series data is not continuous, e.g. in bicycle bike sharing competition by Kaggle https://www.kaggle.com/c/bike-sharing-demand/ it would be useful to have the possibility to prevent...

jacekkotowski