what_trans: what_trans

In linea: Linear Regression Interface

what_trans

Description

run models with additional (transformed) variables from the data

Usage

what_trans(
  model = NULL,
  trans_df = NULL,
  variable = NULL,
  data = NULL,
  r2_diff = TRUE,
  verbose = FALSE
)

Arguments

model	Model object
trans_df	data.frame
variable	string or character vector of variable names contained in raw_data data.frame
data	data.frame containing data from analysis
r2_diff	A boolean to determine whether to add a column to compare new and original model R2
verbose	A boolean to specify whether to print warnings

Details

Run a separate model for each combination of transformations specified. Then, for each model run, return that model's fit and the variables' statistics.

Value

data.frame mapping variables' transformations to the respective model's statistics.

Examples

model = run_model(data = mtcars,dv = 'mpg',ivs = c('disp','cyl'))

trans_df = data.frame(
     name = c('diminish', 'decay', 'lag', 'ma', 'log', 'hill', 'sin', 'exp'),
     ts = c(FALSE,TRUE,TRUE,TRUE,FALSE,FALSE,FALSE,FALSE),
     func = c('linea::diminish(x,a)',
              'linea::decay(x,a)',
              'linea::lag(x,a)',
              'linea::ma(x,a)',
              'log(x,a)',
              "linea::hill_function(x,a,b,c)",
              'sin(x*a)',
              '(x^a)'),order = 1:8) %>%
  dplyr::mutate(val = '') %>%
  dplyr::mutate(val = dplyr::if_else(condition = name == 'hill',
                                     '(1,5,50),(1 ,5,50),(1,5,50)',
                                     val))

variable = 'cyl'

model %>%
 what_trans(variable = variable,trans_df = trans_df)

linea documentation built on Sept. 15, 2022, 9:06 a.m.