Tree Pipit Data

Counts of tree pipits at 86 raster points in oak forests.

data("treepipit")

Format

A data frame with 86 observations on the following 2 variables.

counts

number of tree pipits counted.

coverstorey

canopy overstorey in percent.

Details

The influence of canopy overstorey on the number of bird individuals is of special interest.

Source

Data collected and kindly provided by Joerg Mueller <mue@lwf.uni-muenchen.de>.

References

Mueller J. and Hothorn T. (2004), Maximally Selected Two-sample Statistics as a New Tool for the Identification and Assessment of Habitat Factors with an Application to Breeding-bird Communities in Oak Forests, European Journal of Forest Research, 123(3), 219–228.

Examples

mod <- maxstat.test(counts ~ coverstorey, data = treepipit, 
                    smethod = "Data", pmethod = "HL", minprop = 0.2,
                    maxprop = 0.8)
print(mod)
#> 
#> Maximally selected Data statistics using HL
#> 
#> data:  counts by coverstorey
#> M = 4.3139, p-value = 0.0001141
#> sample estimates:
#> estimated cutpoint 
#>                 40 
#> 
plot(mod)