Examples for 'broom::tidy.nlrq'


Tidy a(n) nlrq object

Aliases: tidy.nlrq nlrq_tidiers

Keywords:

### ** 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
library(quantreg)

# build artificial data with multiplicative error
set.seed(1)
dat <- NULL
dat$x <- rep(1:25, 20)
dat$y <- SSlogis(dat$x, 10, 12, 2) * rnorm(500, 1, 0.1)

# fit the median using nlrq
mod <- nlrq(y ~ SSlogis(x, Asym, mid, scal),
            data = dat, tau = 0.5, trace = TRUE)

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

}
Loading required package: SparseM
Attaching package: 'SparseM'
The following object is masked from 'package:base':

    backsolve
109.059 :   9.968027 11.947208  1.962113 
final  value 108.942725 
converged
lambda = 1 
108.9427 :   9.958648 11.943273  1.967144 
final  value 108.490939 
converged
lambda = 0.9750984 
108.4909 :   9.949430 11.987472  1.998607 
final  value 108.471416 
converged
lambda = 0.9999299 
108.4714 :   9.94163 11.99077  1.99344 
final  value 108.471243 
converged
lambda = 1 
108.4712 :   9.941008 11.990550  1.992921 
final  value 108.470935 
converged
lambda = 0.8621249 
108.4709 :   9.942734 11.992773  1.993209 
final  value 108.470923 
converged
lambda = 0.9999613 
108.4709 :   9.942629 11.992728  1.993136 
final  value 108.470919 
converged
lambda = 1 
108.4709 :   9.942644 11.992737  1.993144 
final  value 108.470919 
converged
lambda = 1 
108.4709 :   9.942644 11.992737  1.993144 
final  value 108.470919 
converged
lambda = 1 
108.4709 :   9.942644 11.992737  1.993144 
# A tibble: 500 × 4
       x      y .fitted   .resid
   <int>  <dbl>   <dbl>    <dbl>
 1     1 0.0382  0.0399 -0.00171
 2     2 0.0682  0.0657  0.00250
 3     3 0.101   0.108  -0.00728
 4     4 0.209   0.177   0.0315 
 5     5 0.303   0.289   0.0137 
 6     6 0.435   0.469  -0.0332 
 7     7 0.796   0.751   0.0448 
 8     8 1.28    1.18    0.0982 
 9     9 1.93    1.81    0.118  
10    10 2.61    2.67   -0.0671 
# … with 490 more rows

[Package broom version 0.8.0 Index]