stats.bin {fields} | R Documentation

## 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

`x` | Values to use to decide bin membership
`y` | A vector of data
`N` | Number of bins. If the breaks is missing there are N bins equally spaced on the range of x.
`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.

### See Also

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")

[Package fields version 5.02 Index]