subset,section-method | R Documentation |
Return a subset of a section object.
## S4 method for signature 'section'
subset(x, subset, ...)
x |
a section object. |
subset |
an optional indication of either the stations to be kept, or the data to be kept within the stations. See “Details”. |
... |
optional arguments, of which only the first is examined. The
possibilities for this argument are |
This function is used to subset data within the
stations of a section, or to choose a subset of the stations
themselves. The first case is handled with the subset
argument,
while the second is handled if ...
contains a vector named
indices
. Either subset
or indices
must be
provided, but not both.
In the "subset" method, subset
indicates
either stations to be kept, or data to be kept within the stations.
The first step in processing is to check for the presence of certain
key words in the subset
expression. If distance
is present, then stations are selected according to a condition on the
distance (in km) from the first station to the given station (Example 1).
If either longitude
or latitude
is given, then
stations are selected according to the stated condition (Example 2).
If stationId
is present, then selection is in terms of the
station ID (not the sequence number) is used (Example 3). In all of these
cases, stations are either selected in their entirety or dropped
in their entirety.
If none of these keywords is present, then the subset
expression is
evaluated in the context of the data
slot of each of the CTD stations
stored within x
. (Note that this slot does not normally
contain any of the keywords that are listed in the previous
paragraph; it does, then odd results may occur.) Each station is examined
in turn, with subset
being evaluated individually in each. The evaluation
produces a logical vector. If that vector has length 1 (Examples 4 and 5)
then the station is retained or discarded, accordingly. If the vector is longer,
then the logical vector is used as a sieve to subsample that individual CTD
profile.
In the "indices" method, stations are selected using
indices
, which may be a vector of integers that indicate sequence
number, or a logical vector, again indicating which stations to keep.
A section object.
# Example 7. Subset by a polygon determined with locator() par(mfrow=c(2, 1)) plot(section, which="map") bdy <- locator(4) # choose a polygon near N. America GS <- subset(section, within=bdy) plot(GS, which="map")
Dan Kelley
Other functions that subset oce objects:
subset,adp-method
,
subset,adv-method
,
subset,amsr-method
,
subset,argo-method
,
subset,cm-method
,
subset,coastline-method
,
subset,ctd-method
,
subset,echosounder-method
,
subset,lobo-method
,
subset,met-method
,
subset,oce-method
,
subset,odf-method
,
subset,rsk-method
,
subset,sealevel-method
,
subset,topo-method
,
subset,xbt-method
Other things related to section data:
[[,section-method
,
[[<-,section-method
,
as.section()
,
handleFlags,section-method
,
initializeFlagScheme,section-method
,
plot,section-method
,
read.section()
,
section
,
section-class
,
sectionAddStation()
,
sectionGrid()
,
sectionSmooth()
,
sectionSort()
,
summary,section-method
library(oce)
data(section)
# Example 1. Stations within 500 km of the first station
starting <- subset(section, distance < 500)
# Example 2. Stations east of 50W
east <- subset(section, longitude > (-50))
# Example 3. Gulf Stream
GS <- subset(section, 113 <= stationId & stationId <= 129)
# Example 4. Only stations with more than 5 pressure levels
long <- subset(section, length(pressure) > 5)
# Example 5. Only stations that have some data in top 50 dbar
surfacing <- subset(section, min(pressure) < 50)
# Example 6. Similar to #4, but done in more detailed way
long <- subset(section,
indices = unlist(lapply(
section[["station"]],
function(s) 5 < length(s[["pressure"]])
))
)
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