.TH r.quantile 1grass "" "GRASS 6.4.4" "Grass User's Manual"
.SH NAME
\fI\fBr.quantile\fR\fR  - Compute quantiles using two passes.
.SH KEYWORDS
raster, statistics
.SH SYNOPSIS
\fBr.quantile\fR
.br
\fBr.quantile help\fR
.br
\fBr.quantile\fR [\-\fBr\fR] \fBinput\fR=\fIname\fR  [\fBquantiles\fR=\fIinteger\fR]   [\fBpercentiles\fR=\fIfloat\fR[,\fIfloat\fR,...]]   [\fBbins\fR=\fIinteger\fR]   [\-\-\fBverbose\fR]  [\-\-\fBquiet\fR] 
.SS Flags:
.IP "\fB\-r\fR" 4m
.br
Generate recode rules based on quantile-defined intervals.
.IP "\fB\-\-verbose\fR" 4m
.br
Verbose module output
.IP "\fB\-\-quiet\fR" 4m
.br
Quiet module output
.PP
.SS Parameters:
.IP "\fBinput\fR=\fIname\fR" 4m
.br
Name of input raster map
.IP "\fBquantiles\fR=\fIinteger\fR" 4m
.br
Number of quantiles
.br
Default: \fI4\fR
.IP "\fBpercentiles\fR=\fIfloat[,\fIfloat\fR,...]\fR" 4m
.br
List of percentiles
.IP "\fBbins\fR=\fIinteger\fR" 4m
.br
Number of bins to use
.br
Default: \fI1000000\fR
.PP
.SH DESCRIPTION
\fIr.quantile\fR computes quantiles in a manner suitable for use with large amounts of data.
It is using two passes.
.SH EXAMPLE
Calculation of elevation quantiles (printed to standard-out):
\fC
.DS
.br
g.region rast=elevation \-p
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r.quantile input=elevation percentiles=0.1,1,10,25,50,75,90,99,99.9
.br
.DE
\fR
The output of \fIr.quantile\fR can be used for quantile classification:
\fC
.DS
.br
g.region rast=elevation \-p
.br
r.quantile elevation quantiles=5 \-r \-\-quiet | r.recode elevation \(rs
.br
           out=elev_quant5 rules=-
.br
.DE
\fR
.SH SEE ALSO
\fI
r.quant
\fR
.SH AUTHOR
Glynn Clements
.PP
\fILast changed: $Date: 2013-04-10 17:52:37 +0200 (Wed, 10 Apr 2013) $\fR
.PP
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.PP
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