Free Fatty Acid Data

Description

The response variable is level of free fatty acid in a sample of prepubescent boys. The explanatory variables are age (in months), weight (in lbs), and skin fold thickness.

Usage

data(ffa)

Format

A data frame with 41 rows and 4 columns.

age

age in years

weight

weight in lbs

skin

skin fold thinkness

ffa

free fatty acid

Source

Morrison, D.F. (1983), Applied Linear Statistical Models, Englewood Cliffs, NJ:Prentice Hall.

References

Hettmansperger, T.P. and McKean J.W. (2011), Robust Nonparametric Statistical Methods, 2nd ed., New York: Chapman-Hall.

Examples

data(ffa)
summary(rfit(ffa~age+weight+skin,data=ffa))  #using the default (Wilcoxon scores)
summary(rfit(ffa~age+weight+skin,data=ffa,scores=bentscores1))

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(Rfit)
Loading required package: quantreg
Loading required package: SparseM

Attaching package: 'SparseM'

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

    backsolve

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/Rfit/ffa.Rd_%03d_medium.png", width=480, height=480)
> ### Name: ffa
> ### Title: Free Fatty Acid Data
> ### Aliases: ffa
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data(ffa)
> summary(rfit(ffa~age+weight+skin,data=ffa))  #using the default (Wilcoxon scores)
Call:
rfit.default(formula = ffa ~ age + weight + skin, data = ffa)

Coefficients:
              Estimate Std. Error t.value   p.value    
(Intercept)  1.4899763  0.2694023  5.5307 2.714e-06 ***
age         -0.0011321  0.0026360 -0.4295 0.6700657    
weight      -0.0153345  0.0038481 -3.9849 0.0003048 ***
skin         0.2743114  0.1342777  2.0429 0.0482380 *  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Multiple R-squared (Robust): 0.3756868 
Reduction in Dispersion Test: 7.42171 p-value: 0.00052 

> summary(rfit(ffa~age+weight+skin,data=ffa,scores=bentscores1))
Call:
rfit.default(formula = ffa ~ age + weight + skin, data = ffa, 
    scores = bentscores1)

Coefficients:
               Estimate  Std. Error t.value   p.value    
(Intercept)  1.35964045  0.18873747  7.2039 1.519e-08 ***
age         -0.00048203  0.00178357 -0.2703 0.7884625    
weight      -0.01539475  0.00260369 -5.9127 8.244e-07 ***
skin         0.35616269  0.09085428  3.9202 0.0003686 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Multiple R-squared (Robust): 0.4758888 
Reduction in Dispersion Test: 11.19857 p-value: 2e-05 

> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>