theil | R Documentation |
This code estimates and performs tests on the slope and intercept of a simple linear model. Based on chapter 9 of Hollander, Wolfe & Chicken, Nonparametric Statistical Methods, 3e.
theil(x=NULL, y=NULL, alpha=0.05, beta.0=0, type="t",
example=FALSE, r=3, slopes=F, doplot=TRUE)
x |
first data vector |
y |
second data vector |
alpha |
the significance level |
beta.0 |
the null hypothesized value |
type |
can be "t" (two-sided), "u" (upper) or "l" (lower). The type refers both to the test and the confidence interval. |
example |
if true, will analyze the data from Example 9.1 |
r |
the number of places for rounding. Increase it if your P-values are coming out as 0 or 1. |
slopes |
if true, will print all n(n-1)/2 slopes |
doplot |
if true, will plot the data and estimated line |
Returns a list with "NSM3Ch9ChickFn" class containing the following components:
alpha |
same as input argument |
beta.0 |
same as input argument |
type |
same as input argument |
r |
same as input argument |
slopes |
same as input argument |
C.stat |
the observed C statistic |
C.bar |
the observed C.bar statistic |
alpha.hat |
the observed alpha.hat statistic |
beta.hat |
the observed beta.hat statistic |
slopes.table |
table containing all n(n-1)/2 |
p.val |
the P-value corresponding to the selected type of test/confidence interval |
L |
the lower endpoint of the confidence interval |
U |
the upper endpoint of the confidence interval |
Eric Chicken
##Example 9.1 Hollander-Wolfe-Chicken##
theil (x, y, example=TRUE, slopes=TRUE)
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