truncHist: Truncated Histograms

In jmuOutlier: Permutation Tests for Nonparametric Statistics

Description

Produces a truncated histogram.

Usage

truncHist(x, xmin = NULL, xmax = NULL, trim = 0.025, main = NULL, xlab = "x", ...)

Arguments

x	Vector of numerical observations.
xmin	Minimum numerical value to be shown in graph.
xmax	Maximum numerical value to be shown in graph.
trim	The fraction (0 to 0.5) of observations to be trimmed from each end of x before the histogram is constructed.
main	An overall title for the histogram.
xlab	A title for the x-axis.
...	Optional arguments to hist.

Details

truncHist may be useful if data contain some extreme outliers.

Author(s)

Steven T. Garren, James Madison University, Harrisonburg, Virginia, USA

See Also

hist

Examples

x1 = sort(rnorm(1000)) ;   c( head(x1), tail(x1)) 

x2 = sort(rnorm(1000)) ;   c( head(x2), tail(x2)) 

y1 = sort(rcauchy(1000)) ; c( head(y1), tail(y1)) 

y2 = sort(rcauchy(1000)) ; c( head(y2), tail(y2)) 

par( mfrow=c(2,2) )
truncHist(x1, main="Normal data; first simulation",  xlab="x1")
truncHist(x2, main="Normal data; second simulation", xlab="x2")
truncHist(y1, main="Cauchy data; first simulation",  xlab="y1")
truncHist(y2, main="Cauchy data; second simulation", xlab="y2")
par( mfrow=c(1,1) )

Example output

 [1] -3.730393 -3.010415 -3.003349 -2.825386 -2.796845 -2.722784  2.504613
 [8]  2.512853  2.634455  2.689028  2.746614  2.989053
 [1] -3.717358 -3.159025 -2.952468 -2.804145 -2.615060 -2.588756  2.414287
 [8]  2.549705  2.642174  2.666765  3.118258  3.671325
 [1] -110.72882  -97.46807  -94.52175  -65.74617  -48.57877  -32.07756
 [7]   42.30049   42.34829   83.49353   84.92954  132.74905  639.64928
 [1] -776.74122 -424.24072 -271.53434 -116.48512 -105.95380  -71.35200
 [7]   55.87423   59.03303   59.84341  115.05525  141.71410  290.09333

jmuOutlier documentation built on Aug. 6, 2019, 1:03 a.m.