Difference between revisions of "Test variable C"
From Testiwiki
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m (→Formula: road) |
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<rcode showcode="1" | <rcode showcode="1" | ||
− | name=" | + | name="ERF_road_Lden_HA" |
> | > | ||
− | + | ERF_road_Lden_HA <- function(Lden) { | |
PercentHighlyAnnoyedByRoadNoise <- | PercentHighlyAnnoyedByRoadNoise <- | ||
9.868 * 10^-4 * (Lden - 42)^3 - 1.436 * 10^-2 * (Lden-42)^2 + 0.5118 * (Lden - 42) | 9.868 * 10^-4 * (Lden - 42)^3 - 1.436 * 10^-2 * (Lden-42)^2 + 0.5118 * (Lden - 42) | ||
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− | # debug | + | # debug ERF_road_Lden_HA(60) |
</rcode> | </rcode> |
Latest revision as of 12:45, 21 May 2012
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Contents
Question
For test purposes, a simple exposure-response function (ERF) that can be called from another variable?
Answer
Use Miedema's ERF for the prevalence of high annoyance as a function of road noise exposure (Lden).
To use this function, include the R code named "ERF_Lden_HA" from this page as follows...
<rcode include="page:Test_variable_C|name:ERF_Lden_HA" >
...and using the input variable "Lden" call the function as follows:
PercentHighlyAnnoyedByRoadNoise <- ERF_Lden_HA(Lden)
Rationale
Dependencies
Formula
ERF_road_Lden_HA <- function(Lden) { PercentHighlyAnnoyedByRoadNoise <- 9.868 * 10^-4 * (Lden - 42)^3 - 1.436 * 10^-2 * (Lden-42)^2 + 0.5118 * (Lden - 42) return(PercentHighlyAnnoyedByRoadNoise) } # debug ERF_road_Lden_HA(60) |
See also
Keywords
References
Related files
<mfanonymousfilelist></mfanonymousfilelist>