Olorgesailie.maj {archdata}

Major stone tool classes, Olorgesailie, Kenya

Description

The data represent the number of specimens in each of 6 major artifact classes recovered from 19 localities at the Lower Paleolithic site of Olorgesailie as described in Isaac (1977).

Usage

data(Olorgesailie.maj)

Format

A data frame with 19 observations showing the number of specimens for each of 6 stone artifact types.

Large.cutting.tools

Number of large cutting tools

Heavy.duty.tools

Number of heavy duty tools

Large.scrapers

Number of large scrapers

Other.large.tools

Number of other large tools

Small.tools

Number of small tools

Spheroids

Number of spheroids

Details

The data come from Table E1 in Isaac (1977: 239). The rownames identify localities in the lower, middle and upper strata to provide relative chronological placement. They are in the same order as the columns in the table: LS1 (BBB), LS2 (BBA), LS3(FB), LS4(FB-HL), LS5(FB-I3), MS1a(DE/89 A-L), MS1b(DE/89 A-I), MS2a(DE/89 B-L), MS2b(DE/89 B-I), MS3(DE/89 C), MS4(H/6), MS5(H/9 A), MS6(H/9 AM), MS7(Mid), MS8(Meng), MS9(LHS), US1(TRTrM10), US2(Hog), US3(MFS). Potts (2011) provides updated information on the site complex.

Source

Isaac, Glynn Ll. 1977. Olorgesailie: Archeological Studies of a Middle Pleistocene Lake Basin in Kenya. The University of Chicago Press.

References

Carlson, David L. 2017. Quantitative Methods in Archaeology Using R. Cambridge University Press, pp 115-119, 138-142.

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 Resarch Monographs in Archaeology and Paleoanthropology.

Examples

data(Olorgesailie.maj)
# 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.maj, simulate.p.value=TRUE)
# Compute percentages over the localities
Olor.pct <- prop.table(as.matrix(Olorgesailie.maj), 1)*100
boxplot(Olor.pct)