DesertBirds: Desert Bird Census Data

In abd: The Analysis of Biological Data

Description

Census data for desert birds.

Format

A data frame with 43 observations on the following 2 variables.

species

a character vector

count

a numeric vector

Source

Sauer, J.R., J.E. Hines, and J. Fallon. 2003. The North American breeding bird survey, results and analysis 1966-2002. Version 2003.1. USGS Patuxent Wildlife Research Center, Laurel, MD.

References

http://www.mbr-pwrc.usgs.gov/bbs/

Examples

str(DesertBirds)
histogram(~ count, DesertBirds,
  xlab = "Abundance"
  )

Example output

Loading required package: nlme
Loading required package: lattice
Loading required package: grid
Loading required package: mosaic
Loading required package: dplyr

Attaching package: 'dplyr'

The following object is masked from 'package:nlme':

    collapse

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Loading required package: ggformula
Loading required package: ggplot2
Loading required package: ggstance

Attaching package: 'ggstance'

The following objects are masked from 'package:ggplot2':

    GeomErrorbarh, geom_errorbarh


New to ggformula?  Try the tutorials: 
	learnr::run_tutorial("introduction", package = "ggformula")
	learnr::run_tutorial("refining", package = "ggformula")
Loading required package: mosaicData
Loading required package: Matrix

The 'mosaic' package masks several functions from core packages in order to add 
additional features.  The original behavior of these functions should not be affected by this.

Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.

Attaching package: 'mosaic'

The following object is masked from 'package:Matrix':

    mean

The following object is masked from 'package:ggplot2':

    stat

The following objects are masked from 'package:dplyr':

    count, do, tally

The following objects are masked from 'package:stats':

    IQR, binom.test, cor, cor.test, cov, fivenum, median, prop.test,
    quantile, sd, t.test, var

The following objects are masked from 'package:base':

    max, mean, min, prod, range, sample, sum

'data.frame':	43 obs. of  2 variables:
 $ species: Factor w/ 43 levels "American Kestrel",..: 4 39 23 36 1 17 37 43 31 22 ...
 $ count  : int  64 23 3 16 7 148 7 625 135 1 ...

abd documentation built on May 2, 2019, 2:14 p.m.