set_predictors | R Documentation |
Predictors are the independent variables which you want to vary as a factor
in your statistical models across different groups, outcomes, and stats.
Predictors can be supplied as individual variables or as collections of
variables, so we refer to a unit of predictors as a "predictor".
This function supports both string inputs and actual variables. This function
also supports tidy-selection functions like contains
and starts_with
which
allows convenient selection of many variables at once with common names.
set_predictors(.model, ..., .labels = NULL, .split = FALSE)
.model |
An aba model. The model for which you want to set predictors |
... |
strings or variables or tidy-selection functions. Each comma-separated value will be a new predictor set. If you supply actual variables, then the data of the aba model should already be set. |
.labels |
vector of strings. Optional .labels for printing & plotting. If .labels is set to "self" then the labels will be the predictor values also. |
.split |
boolean. Whether to split all variables into separate predictors or keep together as one combined predictor. Only relevant when setting predictors with one vector or using things like "starts_with(...)" |
An aba model with predictors set.
data <- adnimerge %>% dplyr::filter(VISCODE == 'bl')
# set with variables - this will result in four "predictor sets".
model <- aba_model() %>%
set_data(data) %>%
set_predictors(
PLASMA_ABETA_bl,
PLASMA_PTAU181_bl,
PLASMA_NFL_bl,
c(PLASMA_ABETA_bl, PLASMA_PTAU181_bl, PLASMA_NFL_bl)
)
# set with tidy selection functions - but this is only one "predictor set",
# not multiple individual predictor sets.
model <- aba_model() %>%
set_data(data) %>%
set_predictors(
starts_with('PLASMA')
)
# automatically generate all possible combinations of variables
model <- aba_model() %>%
set_data(data) %>%
set_predictors(
all_combos(c('PLASMA_ABETA_bl', 'PLASMA_PTAU181_bl', 'PLASMA_NFL_bl'))
)
# supply strings - data does not need to be set first here. But it will
# result in an error if these variables do not éxist in the eventual data.
model <- aba_model() %>%
set_data(data) %>%
set_predictors(
'PLASMA_ABETA_bl',
'PLASMA_PTAU181_bl',
'PLASMA_NFL_bl',
c('PLASMA_ABETA_bl', 'PLASMA_PTAU181_bl', 'PLASMA_NFL_bl')
)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.