Estimate atmospheric pressure in an rsk object. Pressures must be in decibars for this to work. First, a subset of pressures is created, in which the range is sap-dp to sap+dp. Here, sap=10.1325 dbar is standard sealevel atmospheric pressure. Within this window, three measures of central tendency are calculated: the median, the mean, and a weighted mean that has weight given by $$exp(-2*((p-sap)/dp)^2)$$.

rskPatm(x, dp = 0.5)

## Arguments

x

an rsk object.

dp

Half-width of pressure window to be examined (in decibars).

## Value

A list of four estimates: sap, the median, the mean, and the weighted mean.

The documentation for rsk explains the structure of rsk objects, and also outlines the other functions dealing with them.

Other things related to rsk data: [[,rsk-method, [[<-,rsk-method, as.rsk(), ctdFindProfilesRBR(), plot,rsk-method, read.rsk(), rsk-class, rskToc(), rsk, subset,rsk-method, summary,rsk-method

Dan Kelley

## Examples

library(oce)
data(rsk)
print(rskPatm(rsk))
#> [1] 10.1325 10.1325 10.1325 10.1325