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An Mlmr Fit

Source: R/mlmr.R
tidy.mlmr.Rd

Returns a one-row-per-coefficient data.frame in the column convention used by the broom ecosystem (term, estimate, se, statistic, p_value, and optionally ci_lower, ci_upper). Use as.data.frame() on the fit for the DMAR-style table (snake_case columns) stored at fit$coef_table.

Usage

# S3 method for class 'mlmr'
tidy(x, conf.int = FALSE, conf_level = NULL, standardized = FALSE, ...)

Arguments

x

An object of class "mlmr".

conf.int

Logical; if TRUE, append ci_lower and ci_upper columns using the confidence intervals already computed at fit time. Defaults to FALSE.

conf_level

Ignored; the confidence interval comes from the fit object at x$conf_level. Present for compatibility with the broom generic.

standardized

Logical; if TRUE and effect sizes were computed at fit time, append a std_estimate column. Defaults to FALSE.

...

Unused.

Value

A data.frame.

Author

Ken Kelley kkelley@nd.edu

Examples

fit <- mlmr(t6_paragraph_comprehension ~ t5_general_information +
              t9_word_meaning,
            data = holzinger_swineford, ci_method = "wald")
generics::tidy(fit)
#>                     term   estimate         se statistic      p_value
#> 1            (Intercept) 2.38038350 0.47731165  4.987064 6.130392e-07
#> 2 t5_general_information 0.08482737 0.01642376  5.164917 2.405460e-07
#> 3        t9_word_meaning 0.21956217 0.02651353  8.281136 1.220057e-16
generics::tidy(fit, conf.int = TRUE)
#>                     term   estimate         se statistic      p_value
#> 1            (Intercept) 2.38038350 0.47731165  4.987064 6.130392e-07
#> 2 t5_general_information 0.08482737 0.01642376  5.164917 2.405460e-07
#> 3        t9_word_meaning 0.21956217 0.02651353  8.281136 1.220057e-16
#>     ci_lower  ci_upper
#> 1 1.44486986 3.3158971
#> 2 0.05263738 0.1170174
#> 3 0.16759660 0.2715277
generics::tidy(fit, conf.int = TRUE, standardized = TRUE)
#>                     term   estimate         se statistic      p_value
#> 1            (Intercept) 2.38038350 0.47731165  4.987064 6.130392e-07
#> 2 t5_general_information 0.08482737 0.01642376  5.164917 2.405460e-07
#> 3        t9_word_meaning 0.21956217 0.02651353  8.281136 1.220057e-16
#>     ci_lower  ci_upper std_estimate
#> 1 1.44486986 3.3158971           NA
#> 2 0.05263738 0.1170174    0.3007216
#> 3 0.16759660 0.2715277    0.4821600