The function FUN
is applied to f
in bins specified by
xbreaks
. (If FUN
is mean()
,
consider using binMean2D()
instead, since it should be faster.)
binApply1D(x, f, xbreaks, FUN, ...)
x  a vector of numerical values. 

f  a vector of data to which the elements of 
xbreaks  values of x at the boundaries between bins; calculated using

FUN  function to apply to the data 
...  arguments to pass to the function 
A list with the following elements: the breaks in x and y
(xbreaks
and ybreaks
), the break midpoints (xmids
and
ymids
), and a matrix containing the result of applying function
FUN
to f
subsetted by these breaks.
Other binrelated functions:
binApply2D()
,
binAverage()
,
binCount1D()
,
binCount2D()
,
binMean1D()
,
binMean2D()
library(oce) ## salinity profile with median and quartile 1 and 3 data(ctd) p < ctd[["pressure"]] S < ctd[["salinity"]] q1 < binApply1D(p, S, pretty(p, 30), function(x) quantile(x, 1/4)) q3 < binApply1D(p, S, pretty(p, 30), function(x) quantile(x, 3/4)) plotProfile(ctd, "salinity", col='gray', type='n')