r_data_frame {wakefield}

Data Frame Production (From Variable Functions)

Description

Produce a tbl_df data frame that allows the user to lazily pass unnamed wakefield variable functions (optionally, without call parenthesis).

Usage

r_data_frame(n, ..., rep.sep = "_")

Arguments

n

The length to pass to the randomly generated vectors.

rep.sep

A separator to use for repeated variable names. For example if the age is used three times (r_data_frame(age, age, age)), the name "Age" will be assigned to all three columns. The results in column names c("Age_1", "Age_2", "Age_3"). To turn of this behavior use rep.sep = NULL. This results in c("Age", "Age.1", "Age.2") column names in the data.frame.

...

A set of optionally named arguments. Using wakefield variable functions require no name or call parenthesis.

Value

Returns a tbl_df.

Author(s)

Josh O'Brien and Tyler Rinker <[e-mail]>.

References

https://stackoverflow.com/a/29617983/1000343

See Also

r_list, r_series r_dummy

Examples

r_data_frame(n = 30,
    id,
    race,
    age,
    sex,
    hour,
    iq,
    height,
    died,
    Scoring = rnorm,
    Smoker = valid
)

r_data_frame(n = 30,
    id,
    race,
    age(x = 8:14),
    Gender = sex,
    Time = hour,
    iq,
    grade, grade, grade,  #repeated measures
    height(mean=50, sd = 10),
    died,
    Scoring = rnorm,
    Smoker = valid
)

r_data_frame(n = 500,
    id,
    age, age, age,
    grade, grade, grade
)

## Repeated Measures/Time Series
r_data_frame(n=100,
    id,
    age,
    sex,
    r_series(likert, 3),
    r_series(likert, 4, name = "Item", integer = TRUE)
)

## Expanded Dummy Coded Variables
r_data_frame(n=100,
    id,
    age,
    r_dummy(sex, prefix=TRUE),
    r_dummy(political)
)

## `peek` to view al columns
## `plot` (`table_heat`) for a graphic representation
library(dplyr)
r_data_frame(n=100,
    id,
    dob,
    animal,
    grade, grade,
    death,
    dummy,
    grade_letter,
    gender,
    paragraph,
    sentence
) %>%
   r_na() %>%
   peek %>%
   plot(palette = "Set1")