cs_get_augmented_data | R Documentation |
This function returns the patient-wise results, containing the considered pre and post intervention value, its raw change as well as all other change estimates calculated during the clinical significance analysis with the individual's clinical significance category. This function is only useful for individual level analyses because the group level analyses only yield group level results.
cs_get_augmented_data(x, ...)
## Default S3 method:
cs_get_augmented_data(x, ...)
## S3 method for class 'cs_distribution'
cs_get_augmented_data(x, ...)
## S3 method for class 'cs_statistical'
cs_get_augmented_data(x, ...)
## S3 method for class 'cs_combined'
cs_get_augmented_data(x, ...)
## S3 method for class 'cs_percentage'
cs_get_augmented_data(x, ...)
## S3 method for class 'cs_anchor_individual_within'
cs_get_augmented_data(x, ...)
x |
A |
... |
Additional arguments |
A tibble with augmented data
Extractor functions
cs_get_data()
,
cs_get_model()
,
cs_get_n()
,
cs_get_reliability()
,
cs_get_summary()
# Augmented data can be extracted for every individual approach
anchor_results <- claus_2020 |>
cs_anchor(
id,
time,
bdi,
pre = 1,
post = 4,
mid_improvement = 9
)
distribution_results <- claus_2020 |>
cs_distribution(
id,
time,
bdi,
pre = 1,
post = 4,
reliability = 0.80
)
distribution_results_hlm <- claus_2020 |>
cs_distribution(
id,
time,
bdi,
rci_method = "HLM"
)
statistical_results <- claus_2020 |>
cs_statistical(
id,
time,
bdi,
pre = 1,
post = 4,
m_functional = 8,
sd_functional = 8
)
combined_results <- claus_2020 |>
cs_combined(
id,
time,
bdi,
pre = 1,
post = 4,
m_functional = 8,
sd_functional = 8,
reliability = 0.80
)
cs_get_augmented_data(anchor_results)
cs_get_augmented_data(distribution_results)
cs_get_augmented_data(distribution_results_hlm)
cs_get_augmented_data(statistical_results)
cs_get_augmented_data(combined_results)
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