In novisci/stype: Statistical Types

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

lenses and stype

The stype package provides lenses for getting and settings two types of data:

1. the attributes of an individual stype vector (e.g. a context, purpose or internal_name)
2. sets of stype vectors within a list-like structure (such as a data.frame or tibble)

view and set elements of a stype vector

library(stype)
library(dplyr)

A lens consists of two functions: view and set. set can be used to update parts of a stype vector.

x <-  v_binary() %>%
  set(derivation_l, "some derivation") %>% 
  set(long_label_l, "a new label") %>% 
  set(study_role_l, "outcome")
x

And the view can be used to get parts of a vector:

view(x, derivation_l)
view(x, long_label_l)
view(x, study_role_l)

In most cases, stype also has get_* functions that mimic view:

get_derivation(x)
get_long_label(x)

view and set stype vectors within a list-like structure

Lenses for list-like structures can be used to view and set vectors within a data.frame. In this example, we set all continuous variables to be covariates, binary to exposures, and count to outcome:

df <- tibble(
  x1 = v_binary(),
  x2 = v_continuous(),
  x3 = v_continuous(),
  x4 = v_count()
)

df <- df %>%
  over_map(continuous_l, function(x) set(x, study_role_l, "covariate"))%>%
  over_map(binary_l, function(x) set(x, study_role_l, "exposure")) %>%
  over_map(count_l, function(x) set(x, study_role_l, "outcome"))

view(df$x1, study_role_l)
view(df$x2, study_role_l)
view(df$x3, study_role_l) 
view(df$x4, study_role_l) 

novisci/stype documentation built on July 28, 2022, 7:44 a.m.