# Olorgesailie.sub

##### Stone tool subclasses, Olorgesailie, Kenya

The data represent the number of specimens in each of 16 artifact subclasses recovered from 19 localities at the Lower Paleolithic site of Olorgesailie as described in Isaac (1977).

- Keywords
- datasets

##### Usage

`data(Olorgesailie.sub)`

##### Details

The data come from Table E1 in Isaac (1977: 239). The `Locality`

contains the column headings in the original table. The `rownames`

are the same as those in `Olorgesailie.maj`

. The attribute `Variables`

in the data frame includes the full variable names. Potts (2011) provides updated information on the site complex.

##### Format

A data frame with 19 observations showing the stratum, locality and the number of specimens for each of 16 stone artifact types.

`Strat`

stratum:

`Lower`

,`Middle`

,`Upper`

`Locality`

Locality

`HA`

Number of handaxes

`PHA`

Number of pick-like handaxes

`CHA`

Number of chisel handaxes

`CL`

Number of cleavers

`KN`

Number of knives

`BLCT`

Number of broken large cutting tools

`PAT`

Number of picks and tri<U+00E8>dres

`CH`

Number of choppers

`CS`

Number of core scrapers

`LFS`

Number of large flake scrapers

`CB`

Number of core bifaces

`OLT`

Number of other large tools

`SSS`

Number of small scrapers simple

`SSNP`

Number of small scrapers nosed point

`OST`

Number of other small tools

`SP`

Number of spheroids

##### References

Carlson, David L. 2017. *Quantitative Methods in Archaeology Using R*. Cambridge University Press, pp 280-293.

Potts, R. 2011. Olorgesailie--Retrospective and current synthesis. In *Casting the net wide: papers in honor of Glynn Isaac and his approach to human origins research*, edited by J. Sept and D. Pilbeam, pp 1--20. American School of Prehistoric Research Monographs in Archaeology and Paleoanthropology.

##### Examples

```
# NOT RUN {
data(Olorgesailie.sub)
# Chi square after removing the first two columns and simulating the p
# value since there are a number of very small expected values
chisq.test(Olorgesailie.sub[,3:18], simulate.p.value=TRUE)
# Compute percentages over the localities
Olor.pct <- prop.table(as.matrix(Olorgesailie.sub[,3:18]), 1)*100
boxplot(Olor.pct, cex.axis=.7)
# }
```

*Documentation reproduced from package archdata, version 1.2, License: GPL*