Revision 328f151e07864e976578f9134025cbfdb72eb2f3 authored by Doug Nychka on 19 July 2013, 23:45:29 UTC, committed by cran-robot on 19 July 2013, 23:45:29 UTC
1 parent a968cb7
stats.bin.Rd
% fields, Tools for spatial data
% Copyright 2004-2011, Institute for Mathematics Applied Geosciences
% University Corporation for Atmospheric Research
% Licensed under the GPL -- www.gpl.org/licenses/gpl.html
\name{stats.bin}
\alias{stats.bin}
\title{
Bins data and finds some summary statistics.
}
\description{
Cuts up a numeric vector based on binning by a covariate and applies the
fields
stats function to each group
}
\usage{
stats.bin(x, y, N = 10, breaks = NULL)
}
\arguments{
\item{x}{
Values to use to decide bin membership
}
\item{y}{
A vector of data
}
\item{N}{
Number of bins. If the breaks is missing there are N bins equally spaced
on the range of x.
}
\item{breaks}{
The bin boundaries. If there are N+1 of these there will be N bins.
The bin widths can be unequal.
}
}
\value{
A list with several components. stats is a matrix with columns indexing
the bins and
rows being summary statistics found by the stats function. These are:
number of obs, mean, sd, min, quartiles, max and number of NA's.
(If there is no data for a given bin, NA's are filled in. )
breaks are the breaks passed to the function and centers are the bin
centers.
}
\seealso{
bplot, stats
}
\examples{
u<- rnorm( 2000)
v<- rnorm( 2000)
x<- u
y<- .7*u + sqrt(1-.7**2)*v
look<- stats.bin( x,y)
look$stats["Std.Dev.",]
data( ozone2)
# make up a variogram day 16 of Midwest daily ozone ...
look<- vgram( ozone2$lon.lat, c(ozone2$y[16,]), lon.lat=TRUE)
# break points
brk<- seq( 0, 250,,40)
out<-stats.bin( look$d, look$vgram, breaks=brk)
# plot bin means, and some quantiles Q1, median, Q3
matplot( out$centers, t(out$stats[ c("mean", "median","Q1", "Q3"),]),
type="l",lty=c(1,2,2,2), col=c(3,4,3,4), ylab="ozone PPB")
}
\keyword{univar}
% docclass is function
% Converted by Sd2Rd version 1.21.
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