summary.lm_list: Summary of an 'lm_list'-Class Object
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summary.lm_list

R Documentation

Summary of an `lm_list`-Class Object

Description

The summary of content of the output of lm2list().

Usage

## S3 method for class 'lm_list'
summary(object, betaselect = FALSE, ci = FALSE, level = 0.95, ...)

## S3 method for class 'summary_lm_list'
print(x, digits = 3, digits_decimal = NULL, ...)

Arguments

`object`	The output of `lm2list()`.
`betaselect`	If `TRUE`, standardized coefficients are computed and included in the printout. Only numeric variables will be computed, and any derived terms, such as product terms, will be formed after standardization. Default is `FALSE`.
`ci`	If `TRUE`, confidence interval based on t statistic and standard error will be computed and added to the output. Default is `FALSE`.
`level`	The level of confidence of the confidence interval. Ignored if `ci` is not `TRUE`.
`...`	Other arguments. Not used.
`x`	An object of class `summary_lm_list`.
`digits`	The number of significant digits in printing numerical results.
`digits_decimal`	The number of digits after the decimal in printing numerical results. Default is `NULL`. If set to an integer, numerical results in the coefficient table will be printed according this setting, and `digits` will be ignored.

Value

summary.lm_list() returns a summary_lm_list-class object, which is a list of the summary() outputs of the lm() outputs stored.

print.summary_lm_list() returns x invisibly. Called for its side effect.

Functions

print(summary_lm_list): Print method for output of summary for lm_list.

Examples


data(data_serial_parallel)
lm_m11 <- lm(m11 ~ x + c1 + c2, data_serial_parallel)
lm_m12 <- lm(m12 ~ m11 + x + c1 + c2, data_serial_parallel)
lm_m2 <- lm(m2 ~ x + c1 + c2, data_serial_parallel)
lm_y <- lm(y ~ m11 + m12 + m2 + x + c1 + c2, data_serial_parallel)
# Join them to form a lm_list-class object
lm_serial_parallel <- lm2list(lm_m11, lm_m12, lm_m2, lm_y)
lm_serial_parallel
summary(lm_serial_parallel)

manymome documentation built on April 4, 2025, 3:58 a.m.