Summarizes some of the data in a rsk object, presenting such information as the station name, sampling location, data ranges, etc.
Usage
# S4 method for class 'rsk'
summary(object, ...)
Arguments
- object
An rsk object.
- ...
Further arguments passed to or from other methods.
See also
The documentation for rsk explains the structure of CTD 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
,
rsk-class
,
rskPatm()
,
rskToc()
,
subset,rsk-method
Examples
library(oce)
data(rsk)
summary(rsk)
#> rsk summary
#> -----------
#> * Instrument: model RBRconcerto serial number 60130
#> * Atm. press.: 10.1325
#> * Pressure type: absolute
#> * Source: `060130_20150904_1159.rsk`
#> * Time: 2015-09-04 15:37:20 to 2015-09-04 15:44:39 (2639 samples, mean increment 0.1666664 s)
#> * Data Overview
#>
#> Min. Mean Max. Dim. NAs OriginalName
#> time 2015-09-04 15:37:20 2015-09-04 15:41:00 2015-09-04 15:44:39 2639 0 "-"
#> conductivity [mS/cm] 26.211 30.051 30.985 2639 0 "cond06"
#> temperature [°C, ITS-90] 0.92965 1.9082 4.3835 2639 0 "temp03"
#> pressure [dbar, absolute] 10.146 255.76 463.39 2639 0 "pres07"
#> tstamp 7.1214e-312 7.1214e-312 7.1214e-312 2639 0 "tstamp"
#>
#> * Processing Log
#>
#> - 2023-03-19 11:48:48 UTC: `create 'rsk' object`
#> - 2023-03-19 11:48:48 UTC: `read.rsk(file = file, encoding = encoding, allTables = FALSE, processingLog = processingLog)`
#> - 2023-03-19 11:48:48 UTC: `oceSetMetadata(object = rsk, name = "longitude", value = -(56 + 26.232/60))`
#> - 2023-03-19 11:48:48 UTC: `oceSetMetadata(object = rsk, name = "latitude", value = 73 + 13.727/60)`
#> - 2023-03-19 11:48:48 UTC: `oceSetMetadata(object = rsk, name = "station", value = "C18")`
#> - 2023-03-19 11:48:48 UTC: `oceSetMetadata(object = rsk, name = "ship", value = "Ault")`
#> - 2023-03-19 11:48:48 UTC: `oceSetMetadata(object = rsk, name = "institute", value = "Ocean Research Project")`
#> - 2023-03-19 11:48:48 UTC: `subset.rsk(x, subset=1441381040 < time & time < 1441381480)`