| sample {sandbox} | R Documentation |
Example Grain Size Data
Description
Example data set of a virtual loess-like sample.
Format
The format is: 'data.frame': 1000 obs. of 12 variables: $ ID : int 33107 33108 33109 33110 33111 33112 ... $ depth : num 5 5 5 5 5 ... $ population : num 3 1 3 2 1 3 1 3 3 3 ... $ age : num 25711 25710 25712 25709 25710 ... $ dose_rate : num 7.163 -1.083 -0.929 3.541 5.732 ... $ water_content : num 13.29 10.99 3.65 8.98 3.29 ... $ population : num 0.3 0.586 0.3 0.114 0.586 ... $ grainsize : num 4.01 6.22 5.16 5.47 5.57 ... $ density : num 1.92 1.91 1.9 1.88 1.9 ... $ packing : num 0.708 0.702 0.698 0.702 0.688 ... $ photon_equivalent: num 1.017 0.993 1.005 1 0.995 ... $ predose : num 2020 3106 1983 191 2387 ...
Details
The sample was created using the rule book book_1, a depth of 5 m and a cuboid sample geometry with 2 mm edge length.
Examples
## load example data set
data(sample, envir = environment())
## plot grain-size distribution
plot(density(sample$grainsize))