aihand {STAND} | R Documentation |
Industrial Hygiene Air Monitoring Data
Description
Data from Mulhausen and Damiano Appendix V is used to illustrate data with "less-than" values (non-detects).
Usage
data(aihand)
Format
A data frame with 15 observations on the following 3 variables
- xnd
air monitoring data with 3 non-detects
- det
0 if non-detect, 1 if detect
- x
air monitoring data
(mg/m^3)
Details
The data in column 1 was obtained from the data in column 3 by assuming a limit of detection of 1.9. The original data in column 3 is used as an example in Appendices V, VI, and VII ( see Tables V.1, V.5, V.6, VI.2 ) to illustrate methods of analysis when there are no non-detects.
Source
Table V.2 page 244 in Mulhausen and Damiano (1998) and Table IV.3 page 349 in Ignacio and Bullock (2006)
References
Ignacio, J. S. and W. H. Bullock (2006), A Strategy for Assessing and Managing Occupational Exposures, Third Edition, AIHA Press, Fairfax, VA.
Mulhausen, J. R. and J. Damiano (1998), A Strategy for Assessing and Managing Occupational Exposures, Second Edition, AIHA Press, Fairfax, VA.
Examples
data(aihand) # Table V.2 Mulhausen and Damiano (1998)
# calculate summary statistics for non-detect data
ndt <- IH.summary(aihand,L=5)
x <- aihand$x ; det <- rep(1,length(x))
aiha<-data.frame(x,det) # complete data
# calculate summary statistics for complete data
cdt <- IH.summary(aiha,L=5)
# output results in a table
round(cbind(cdt,ndt),3)
# rm(aiha,aihand,cdt,det,ndt)
# add results for exact method for complete data case
# for Xp and the exceedance fraction