R: Examples for 'broom::tidy.rqs'

### ** Examples


# feel free to ignore the following line—it allows {broom} to supply 
# examples without requiring the model-supplying package to be installed.
if (requireNamespace("quantreg", quietly = TRUE)) {

# load modeling library and data
library(quantreg)

data(stackloss)

# median (l1) regression fit for the stackloss data. 
mod1 <- rq(stack.loss ~ stack.x, .5)

# weighted sample median
mod2 <- rq(rnorm(50) ~ 1, weights = runif(50))

# summarize model fit with tidiers
tidy(mod1)
glance(mod1)
augment(mod1)

tidy(mod2)
glance(mod2)
augment(mod2)

# varying tau to generate an rqs object
mod3 <- rq(stack.loss ~ stack.x, tau = c(.25, .5))

tidy(mod3)
augment(mod3)

# glance cannot handle rqs objects like `mod3`--use a purrr 
# `map`-based workflow instead

}

Loading required package: SparseM

Attaching package: 'SparseM'

The following object is masked from 'package:base':

    backsolve

# A tibble: 42 × 5
   stack.loss stack.x[,"Air.Flow"] [,"Water.Temp"] .tau     .resid .fitted
        <dbl>                <dbl>           <dbl> <chr>     <dbl>   <dbl>
 1         42                   80              27 0.25   1.10e+ 1    31.0
 2         42                   80              27 0.5    5.06e+ 0    36.9
 3         37                   80              27 0.25   6.00e+ 0    31.0
 4         37                   80              27 0.5   -1.42e-14    37  
 5         37                   75              25 0.25   1.05e+ 1    26.5
 6         37                   75              25 0.5    5.43e+ 0    31.6
 7         28                   62              24 0.25   9.00e+ 0    19  
 8         28                   62              24 0.5    7.63e+ 0    20.4
 9         18                   62              22 0.25   1.00e+ 0    17.0
10         18                   62              22 0.5   -1.22e+ 0    19.2
# … with 32 more rows, and 1 more variable: stack.x[3] <dbl>

Examples for 'broom::tidy.rqs'

Tidy a(n) rqs object