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R/AllClass.R
In argoFloats: Analysis of Oceanographic Argo Floats
# vim:textwidth=128:expandtab:shiftwidth=4:softtabstop=4
#' A Package for Processing Argo Float Profiles
#'
#' The `argoFloats` package provides tools for downloading and processing Argo profile data.
#' It allows users to focus on core, biogeochemical ("BGC"), or deep Argo profiles, and
#' also to sift these profiles based on ID, time, geography, variable, institution, and ocean, etc.
#' Once downloaded, such datasets can be analyzed within `argoFloats` or using other R tools
#' and packages.
#'
#' The development website is \url{https://github.com/ArgoCanada/argoFloats}, and
#' \url{https://argocanada.github.io/argoFloats/index.html} provides a simpler view
#' that may be more helpful to most users. For more on the argoFloats package, see
#' Kelley et al. (2021).
#'
#' The sketch given below illustrates the typical workflow with the package, with
#' descriptions of the steps on the left, and names of the relevant functions
#' on the right.
#'
#' \if{html}{\figure{workflow.png}{options: width="455" alt="Figure: workflow.png"}}
#'
#' As illustrated, the central functions are named
#' [getIndex()], [subset()][subset,argoFloats-method()],
#' [getProfiles()], and [readProfiles()], and so a good way to
#' get familiar with the package is to read their documentation entries
#' and try the examples provided therein. Some built-in datasets are provided
#' for concreteness of illustration and for testing, but actual work always
#' starts with a call to [getIndex()] to download a full index of float data.
#'
#' In addition to these functions, `argoFloats` also provides
#' specialized versions of R "generic" functions, as follows.
#'
#' 1. `[[` provides a way to extract items from `argoFloats` objects,
#' without getting lost in the details of storage.
#' See \code{\link{[[,argoFloats-method}} for details.
#' (Note that `[[<-` is *not* specialized, since the
#' user is highly discouraged from altering values within `argoFloats`
#' objects.)
#'
#' 2. `plot()` provides simple ways to plot aspects of [`argoFloats-class`] objects.
#' See [plot,argoFloats-method()] for details.
#'
#' 3. `summary()` displays key features of [`argoFloats-class`] objects.
#' See [summary,argoFloats-method()] for details.
#'
#' 4. `show()` provides a one-line sketch of [`argoFloats-class`] objects.
#' See [show,argoFloats-method()] for details.
#'
#' 5. `merge()` combines multiple index objects into a new index object.
#'
#' It should be noted that the profile elements within `argoFloats` objects are stored as
#' in the form of `argo` objects as defined by the `oce` package.
#' This means that `argoFloats` users can rely on
#' a wide variety of `oce` functions to analyze their data.
#' The full suite of R tools is also available, and the vastness of
#' that suite explains why `argoFloats` is written in R.
#'
#' Kelley, D. E., Harbin, J., & Richards, C. (2021). argoFloats: An R package for analyzing
#' Argo data. Frontiers in Marine Science, (8), 636922.
#' \doi{10.3389/fmars.2021.635922}
#'
#' @importFrom methods new
#' @name argoFloats
#' @docType package
#' @keywords internal
"_PACKAGE"
## usethis namespace: start
## usethis namespace: end
NULL
#' A Sample Index of Profiles
#'
#' This was created by subsetting a global index to the Argo profiles
#' that were within a 200km radius of Marsh Harbour, Abaco Island,
#' Bahamas, using the following code.
#' ```
# library(argoFloats)
#' indexAll <- getIndex()
#' index <- subset(indexAll,
#' circle=list(longitude=-77.06, latitude=26.54, radius=200))
#' ```
#'
#' @template server_caveat
#'
#' @examples
#' library(argoFloats)
#' data(index)
#' plot(index, bathymetry=FALSE)
#' @name index
#' @docType data
#' @family datasets provided with argoFloats
NULL
#' A Sample Index of Biogeochemical-Argo Profiles
#'
#' This was created by subsetting a global index to the BGC Argo profiles
#' that were within a 300km radius of Marsh Harbour, Abaco Island,
#' Bahamas, using the following code.
#'```
#' library(argoFloats)
#' indexAll <- getIndex("bgc")
#' indexBgc <- subset(indexAll,
#' circle=list(longitude=-77.06, latitude=26.54, radius=300))
#'```
#'
#' @template server_caveat
#'
#' @examples
#' library(argoFloats)
#' data(indexBgc)
#' plot(indexBgc, bathymetry=FALSE)
#' summary(indexBgc)
#' unique(indexBgc[["parameters"]])
#' @name indexBgc
#' @docType data
#' @family datasets provided with argoFloats
NULL
## A sample index of merged Argo and biogeochemical-Argo profiles
##
## This was created by subsetting a global index to the BGC Argo profiles
## that were within a 300km radius of Marsh Harbour, Abaco Island,
## Bahamas, using the following code.
##```
## library(argoFloats)
## indexAll <- getIndex("merged")
## indexMerged <- subset(indexAll,
## circle=list(longitude=-77.06, latitude=26.54, radius=300))
##```
##
## @template server_caveat
##
## @examples
## library(argoFloats)
## data(indexMerged)
## plot(indexMerged, bathymetry=FALSE)
## summary(indexMerged)
## unique(indexMerged[["parameters"]])
## @name indexMerged
## @docType data
## @family datasets provided with argoFloats
NULL
#' A Sample Index of Synthetic Profiles
#'
#' This was created by subsetting a global index to the BGC Argo profiles
#' that were within a 300km radius of Marsh Harbour, Abaco Island,
#' Bahamas, using the following code.
#'```
#' library(argoFloats)
#' indexAll <- getIndex("synthetic")
#' indexSynthetic <- subset(indexAll,
#' circle=list(longitude=-77.06, latitude=26.54, radius=300))
#'```
#' This "synthetic" type of index is a replacement for the older "merged" index. See
#' `http://www.argodatamgt.org/Data-Mgt-Team/News/BGC-Argo-synthetic-profiles-distributed-on-GDAC`
#' for more on the data file format, the reasons for the change, and the
#' timetable for the transition from "merged".
#'
#' @template server_caveat
#'
#' @examples
#' library(argoFloats)
#' data(indexSynthetic)
#' plot(indexSynthetic, bathymetry=FALSE)
#' summary(indexSynthetic)
#' unique(indexSynthetic[["parameters"]])
#' @name indexSynthetic
#' @docType data
#' @family datasets provided with argoFloats
NULL
#' A Sample Index of Deep Argo
#'
#' This was created by subsetting a global index to the deep Argo profiles
#' that were within a 800km radius of Antarctica (67S,105E),
#' using the following code.
#'```
#' library(argoFloats)
#' subset <- subset(getIndex(), deep=TRUE)
#' sub2 <- subset(subset, circle=list(longitude=105, latitude=-67, radius=800))
#'```
#'
#' @template server_caveat
#'
#' @examples
#' library(argoFloats)
#' data(indexDeep)
#' plot(indexDeep, bathymetry=FALSE)
#' summary(indexDeep)
#' @name indexDeep
#' @docType data
#' @family datasets provided with argoFloats
NULL
#' Base Class for argoFloats Objects
#'
#' In the normal situation, users will not create these objects directly. Instead,
#' they are created by functions such as [getIndex()].
#'
#' @slot data The `data` slot is a list with contents that vary with the object type. For example,
#' [getIndex()] creates objects of type `"index"` that have a single unnamed
#' element in `data` that is a data frame. This data frame has a column named `file`
#' that is used in combination with `metadata@ftpRoot` to form a URL for downloading,
#' along with columns named `date`, `latitude`, `longitude`,
#' `ocean`, `profiler_type`, `institution` and `date_update`. Other "get" functions
#' create objects with different contents.
#'
#' @slot metadata The `metadata` slot is a list containing information about the data. The contents vary
#' between objects and object types. That type is indicated by elements named
#' `type` and `subtype`, which are checked by many functions within the package.
#'
#' @slot processingLog The `processingLog` slot is a list containing time-stamped processing steps that may be
#' stored in the object by argoFloats functions. These are noted in `summary()` calls.
#'
#' @examples
#' str(new("argoFloats"))
setClass("argoFloats", slots=c(metadata="list", data="list", processingLog="list"))
setMethod(f="initialize",
signature="argoFloats",
definition=function(.Object, type="unspecified", subtype="cycles") {
.Object@data <- list()
.Object@metadata$type <- type
.Object@metadata$subtype <- subtype
.Object@processingLog$time <- as.POSIXct(Sys.time())
.Object@processingLog$value <- "create 'argoFloats' object"
return(.Object)
})
#' Look up a Value Within an argoFloats Object
#'
#' This function provides an easy way to look up values within an [`argoFloats-class`]
#' object, without the need to know the exact structure of the data. The action
#' taken by `[[` depends on the `type` element in the `metadata` slot of
#' the object (which is set by the function that created the object), on the
#' value of `i` and, in some cases, on the value of `j`; see \dQuote{Details}.
#'
#' There are several possibilities, depending on the object `type`, as
#' listed below. Note that these possibilities are checked in the
#' order listed here.
#'
#' 1. For all object types:
#' 1. If `i` is `"metadata"` then the `metadata` slot of `x` is returned.
#' 2. Otherwise, if `i` is `"data"` then the `data` slot of `x` is returned.
#' 3. Otherwise, if `i` is `"cycle"` then a character vector of the cycle
#' numbers is returned.
#' 4. Otherwise, if `i` is `"processingLog"` then the `processingLog` slot of
#' `x` is returned.
#' 5. Otherwise, if `i` is `"ID"` then a character vector of the ID numbers
#' is returned.
#' 6. Otherwise, the following steps are taken, depending on `type`.
#'
#' 2. If `type` is `"index"`, i.e. if `x` was created with [getIndex()]
#' or with [subset,argoFloats-method()] acting on the result of [getIndex()],
#' then:
#' 1. If `i` is numeric and `j` is unspecified, then `i` is taken to
#' be an index that identifies the row(s) of the data frame that
#' was constructed by [getIndex()] based on the remote index file
#' downloaded from the Argo server. This has elements `file` for
#' the remote file name, `date` for the date of the entry, `latitude`
#' and `longitude` for the float position, etc.
#' 3. If `i` is the name of an item in the `metadata` slot, then that item
#' is returned. The choices are:
#' `"destdir"`, `"destfileRda"`, `"filename"`, `"ftpRoot"`, `"header"`,
#' `"server"`, `"type"`, and `"url"`.
#' 4. Otherwise, if `i` is the name of an item in the `data` slot, then that item
#' is returned. The choices are:
#' `"date"`, `"date_update"`, `"file"`, `"institution"`, `"latitude"`,
#' `"longitude"`, `"ocean"`, and `"profiler_type"`. Note that `"time"` and
#' `"time_update"` may be used as synonyms for `"date"` and `"date_update"`.
#' 5. Otherwise, if `i=="index"` then that item from the `data` slot of `x` is returned.
#' (For the possible names, see the previous item in this sub-list.)
#' 6. Otherwise, if `i` is an integer, then the `i`-th row of the `index` item in
#' the `data` slot is returned. This is a good way to learn the
#' longitude and latitude of the profile, the file name on the server,
#' etc.
#' 7. Otherwise, if `i` is `"ID"` then the return value is developed from the
#' `index$file` item within the `data` slot of `x`, in one of three cases:
#' 1. If `j` is not supplied, the return value is a vector holding the
#' identifiers (character codes for numbers) for all the data files
#' referred to in the index.
#' 2. Otherwise, if `j` is numeric, then the return value is a subset of
#' the ID codes, as indexed by `j`.
#' 3. Otherwise, an error is reported.
#' 8. If `i` is `"length"`, the number of remote files pointed to by the index
#' is returned.
#' 3. Otherwise, if `type` is `"profiles"`, i.e. if `x` was created with [getProfiles()], then:
#' 1. If `i` is numeric and `j` is unspecified, then return the local file name(s)
#' that are identified by using `i` as an index.
#' 2. If `i` is the name of an item in the `metadata` slot, then that item
#' is returned. The choices are:
#' `"type"` and `"destdir"`.
#' 3. Otherwise, if `i` is the name of an item in the `data` slot, then that item
#' is returned. There is only one choice: `"file"`.
#' 4. If `i` is `"length"`, the number of local file names that were downloaded
#' by [getProfiles()] is returned.
#' 4. Otherwise, if `type` is `"argos"`, i.e. if `x` was created with [readProfiles()], then:
#' 1. If `i` is equal to `"argos"`, and `j` is unspecified, then a list
#' holding the [oce::argo-class] objects stored within `x` is returned.
#' 2. If `i` is equal to `"argos"`, and `j` is provided, then the associated
#' [oce::argo-class] object is returned.
#' 3. If `i` is numeric and `j` is unspecified, then return the argo objects identified
#' by using `i` as an index.
#' 4. If `i` is the name of an item in the `metadata` slot, then that item
#' is returned. There is only choice, `"type"`.
#' 5. Otherwise, if `i` is the name of an item in the `data` slot, then that item
#' is returned as a named list. (At present, there is only one choice: `"argos"`.)
#' 6. Otherwise, if `i` is `"length"` then the number of oce-type argo objects in `x` is returned.
#' 7. Otherwise, if `i` is a character value then it is taken to be
#' an item within the `metadata` or `data` slots of the argo objects
#' stored in `x`, and the returned value is a list containing that
#' information with one (unnamed) item per profile.
#' If `j` is provided
#' and equal to `"byLevel"`, then the items from the `metadata` are
#' repeated (if necessary) and formed into matrix or vector of the same
#' shape as the `"pressure"` field; this can be convenient for computations
#' involving items that only occur once per profile, such as `"longitude"`,
#' but it should not be used for items that are not level-specific, such
#' as the various `"HISTORY_*"` elements, which apply to a dataset, not to
#' a level
#' 8. Otherwise, NULL is reported.
#' 5. Otherwise, an error is reported.
#. For more on this function, see Kelley et al. (2021).
#'
#' @param x an [`argoFloats-class`] object.
#' @param i a character value that specifies the item to be looked up;
#' see \dQuote{Details}.
#' @param j supplemental index value, used for some `x` types
#' and `i` values; see \dQuote{Details}.
#' @param ... ignored.
#'
#' @examples
#' data(index)
#' # Full remote filename for first two item in index
#' paste0(index[["server"]], "/dac/", index[["cycle", 1:2]])
#' # File names and geographical locations of first 5 items in index
#' index5 <- subset(index, 1:5)
#' data.frame(file=gsub(".*/", "", index5[["file"]][1]),
#' lon=index5[["longitude"]],
#' lat=index5[["latitude"]])
#'
#' @references
#' Kelley, D. E., Harbin, J., & Richards, C. (2021). argoFloats: An R package for analyzing
#' Argo data. Frontiers in Marine Science, (8), 636922.
#' \doi{10.3389/fmars.2021.635922}
#'
#' @return the indicated item, or NULL if it is neither stored within the first argument
#' nor computable from its contents.
#'
#' @export
#'
#' @docType methods
#'
#' @aliases [[,argoFloats-method
#'
#' @author Dan Kelley
setMethod(f="[[",
signature(x="argoFloats", i="ANY", j="ANY"),
definition=function(x, i, j, ...) {
if (missing(i))
stop("Must name an item to retrieve, e.g. 'x[[\"latitude\"]]'", call.=FALSE)
dots <- list(...)
debug <- if (!is.null(dots$debug)) dots$debug else 0
argoFloatsDebug(debug, "[[,argoFloats-method with i=", i, " and j=", if (missing(j)) "(missing)" else j, "\n", sep="", style="bold", unindent=1)
if (length(i) == 1 && i == "metadata") {
argoFloatsDebug(debug, "} # returned metadata slot\n", style="bold", unindent=1)
return(x@metadata)
}
if (length(i) == 1 && i == "data") {
argoFloatsDebug(debug, "} # returned data slot\n", style="bold", unindent=1)
return(x@data)
}
if (length(i) == 1 && i == "processingLog") {
argoFloatsDebug(debug, "} # returned processingLog slot\n", style="bold", unindent=1)
return(x@processingLog)
}
type <- x@metadata$type
istraj <- identical(x@metadata$subtype, "trajectories")
if (type == "index") {
argoFloatsDebug(debug, "Handling type \"index\" case (istraj=", istraj, ").\n", sep="")
if (is.numeric(i)) {
return(x@data$index[i,])
} else if (length(i) == 1 && i == "index") {
return(x@data$index)
} else if (length(i) == 1 && i %in% names(x@metadata)) {
return(x@metadata[[i]])
} else if (length(i) == 1 && i %in% names(x@data$index)) {
return(if (missing(j)) x@data$index[[i]] else x@data$index[[i]][j])
} else if (length(i) == 1 && i == "profile") {
stop("In [[ : the old syntax [[\"profile\"]] is no longer converted to [[\"cycle\"]]")
## changed to stop() 2020-10-07
## warning("converted x[[\"profile\"]] to x[[\"cycle\"]] for backwards compatibility;\n NOTE: this conversion will cease after September, 2020.")
## cycle <- gsub("^.*[/\\\\][A-Z]*[0-9]*_([0-9]{3,4}[D]{0,1})\\.nc$", "\\1", x@data$index$file)
## return(as.vector(if (missing(j)) cycle else cycle[j]))
} else if (length(i) == 1 && i == "cycle" && !istraj) {
cycle <- gsub("^.*[/\\\\][A-Z]*[0-9]*_([0-9]{3,4}[D]{0,1})\\.nc$", "\\1", x@data$index$file, perl=TRUE)
return(as.vector(if (missing(j)) cycle else cycle[j]))
} else if (length(i) == 1 && i == "ID" && !istraj) {
ID <- gsub("^.*[/\\\\][A-Z]*([0-9]*)_[0-9]{3,4}[A-Z]*\\.nc$", "\\1", x@data$index$file, perl=TRUE)
#test told <- system.time({IDold <- gsub("^.*[/\\\\][A-Z]*([0-9]*)_[0-9]{3,4}[A-Z]*\\.nc$", "\\1", x@data$index$file)})
#test tnew <- system.time({ID <- gsub("^.*[/\\\\][A-Z]*([0-9]*)_[0-9]{3,4}[A-Z]*\\.nc$", "\\1", x@data$index$file, perl=TRUE)})
#test message("old=", told[1], "s, new=", tnew[1], "s (", round(told[1]/tnew[1],2), "X faster)")
#test stopifnot(all.equal(IDold, ID))
return(as.vector(if (missing(j)) ID else ID[j]))
} else if (length(i) == 1 && i == "ID" && istraj) {
ID <- gsub("^.*[/\\\\][A-Z]*([0-9]*)_[A-Z]*traj*\\.nc$", "\\1", x@data$index$file)
return(as.vector(if (missing(j)) ID else ID[j]))
} else if (length(i) == 1 && i == "length") {
return(length(x@data$index$file))
} else if (length(i) == 1 && i == "parameters") {
stop("there are no parameters for core Argo index objects. Try BGC, Merged, or Synthetic Argo.", call.=FALSE)
} else if (length(i) == 1 && i == "time") {
return(x@data$index$date)
} else if (length(i) == 1 && i == "time_update") {
return(x@data$index$date_update)
} else {
subtype <- if (is.null(x@metadata$subtype)) "cycles" else x@metadata$subtype
stop("no \"", paste(i, collapse=","), "\" in an object of type=\"index\" and subtype=\"", subtype, "\"", call.=FALSE)
}
} else if (type == "profiles") { # made by getProfiles()
argoFloatsDebug(debug, "Handling type==\"profiles\" case.\n")
if (is.numeric(i) && missing(j)) {
return(x@data$file[[i]])
} else if (length(i) == 1 && i == "cycle") {
cycle <- gsub("^.*[/\\\\][A-Z]*[0-9]*_([0-9]{3,4})[A-Z]*\\.nc$", "\\1", x[["file"]])
return(as.vector(if (missing(j)) cycle else cycle[j]))
} else if (length(i) == 1 && i == "ID") {
ID <- gsub("^.*[/\\\\][A-Z]*([0-9]*)_[0-9]{3,4}[A-Z]*\\.nc$", "\\1", x[["file"]])
return(as.vector(if (missing(j)) ID else ID[j]))
} else if (length(i) == 1 && i %in% names(x@metadata)) {
return(x@metadata[[i]])
} else if (length(i) == 1 && i %in% names(x@data)) {
if (missing(j)) {
return(x@data[[i]])
} else if (is.numeric(j)) {
return(x@data[[i]][j])
} else {
stop("if j is given, it must be numeric")
}
} else if (length(i) == 1 && i == "length") {
return(length(x@data$file))
} else {
stop("cannot interpret i=", paste(i, collapse=","), " for an object of type=\"", type, "\"")
}
} else if (type == "argos") { # made by readProfiles()
argoFloatsDebug(debug, "Handling type==\"argos\" case.\n")
if (is.numeric(i) && missing(j)) {
return(x@data$argos[[i]])
} else if (length(i) == 1 && i %in% names(x@metadata)) {
argoFloatsDebug(debug, "i=\"", i, "\" is in metadata\n")
return(x@metadata[[i]])
} else if (length(i) == 1 && i %in% names(x@data)) {
argoFloatsDebug(debug, "i=\"", i, "\" is in data\n")
return(if (missing(j)) x@data[[i]] else x@data[[i]][[j]])
} else if (length(i) == 1 && i == "cycle") {
argoFloatsDebug(debug, "i=\"", i, "\"\n", sep="")
cycle <- gsub("^.*[/\\\\][A-Z]*[0-9]*_([0-9]{3,4})[A-Z]*\\.nc$", "\\1", unlist(x[["filename"]]))
return(as.vector(if (missing(j)) cycle else cycle[j]))
} else if (length(i) == 1 && i == "length") {
return(length(x@data$argos))
} else if (length(i) == 1 && i == "filename") {
argoFloatsDebug(debug, "i=\"", i, "\" is detected specifically\n")
ID <- unlist(lapply(x@data$argos, function(a) a[["filename"]]))
return(as.vector(if (missing(j)) ID else ID[j]))
} else if (length(i) == 1 && i == "ID") {
ID <- unlist(lapply(x@data$argos, function(a) a[["id"]][1])) # IMPORTANT: oce calls it "id"
return(as.vector(if (missing(j)) ID else ID[j]))
} else {
argoFloatsDebug(debug, "No special argoFloats::[[ case found, so will try oce::[[ on each item within x@data$argos.\n")
if (!missing(j)) {
argoFloatsDebug(debug, "WARNING: j was given, so the results may be wrong.\n")
if (j != "byLevel")
stop("[[\"", i, "\"]], j]] requires that j be \"byLevel\", not \"", j, "\"")
return(lapply(x[["argos"]],
function(a) {
pressure <- a[["pressure"]]
if (is.matrix(pressure))
matrix(a[[i]], nrow=nrow(pressure), ncol=ncol(pressure))
else
rep(a[[i]], length.out=length(pressure))
}))
} else {
if (i == "longitude" || i == "latitude") {
argoFloatsDebug(debug, "returning", i, "from the oce::argo object metadata\n")
RES <- lapply(x@data$argos, function(a) a[[i]])
argoFloatsDebug(debug, "}\n", style="bold", unindent=1)
return(RES)
} else {
argoFloatsDebug(debug, "Determining \"", i, "\" with oce::as.ctd() and then oce::[[,ctd-method.\n", sep="")
if (!requireNamespace("oce", quietly=TRUE))
stop("must install.packages(\"oce\"), for [[ to work")
## OLD computable <- c("CT", "SA", "sigmaTheta", "spice")
RES <- lapply(x[["argos"]],
function(a) {
a[[i]] # note that this might be i, or adjusted i
})
argoFloatsDebug(debug, "} # [[,argoFloats-method\n", style="bold", unindent=1)
return(RES)
}
}
}
} else {
stop("the object type must be \"index\", \"profiles\", or \"argos\", but it is \"", type, "\"")
}
if (i %in% c("longitude", "latitude")) {
res <- if (type == "argos") {
## argoFloatsDebug(debug, "type=\"argos\"\n", sep="")
unlist(lapply(x[["argos"]], function(a) rep(a[[i]], length=length(a[["salinity"]]))))
} else if (type == "index") {
x@data$index[[i]]
} else {
stop("[[\"", i, "\"]] only works for objects created by readProfiles()")
}
## argoFloatsDebug(debug, "[[ for '", i, "' returning ", length(res), " values\n", sep="")
return(res)
}
return(NULL)
})
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# vim:textwidth=128:expandtab:shiftwidth=4:softtabstop=4
#' A Package for Processing Argo Float Profiles
#'
#' The `argoFloats` package provides tools for downloading and processing Argo profile data.
#' It allows users to focus on core, biogeochemical ("BGC"), or deep Argo profiles, and
#' also to sift these profiles based on ID, time, geography, variable, institution, and ocean, etc.
#' Once downloaded, such datasets can be analyzed within `argoFloats` or using other R tools
#' and packages.
#'
#' The development website is \url{https://github.com/ArgoCanada/argoFloats}, and
#' \url{https://argocanada.github.io/argoFloats/index.html} provides a simpler view
#' that may be more helpful to most users. For more on the argoFloats package, see
#' Kelley et al. (2021).
#'
#' The sketch given below illustrates the typical workflow with the package, with
#' descriptions of the steps on the left, and names of the relevant functions
#' on the right.
#'
#' \if{html}{\figure{workflow.png}{options: width="455" alt="Figure: workflow.png"}}
#'
#' As illustrated, the central functions are named
#' [getIndex()], [subset()][subset,argoFloats-method()],
#' [getProfiles()], and [readProfiles()], and so a good way to
#' get familiar with the package is to read their documentation entries
#' and try the examples provided therein. Some built-in datasets are provided
#' for concreteness of illustration and for testing, but actual work always
#' starts with a call to [getIndex()] to download a full index of float data.
#'
#' In addition to these functions, `argoFloats` also provides
#' specialized versions of R "generic" functions, as follows.
#'
#' 1. `[[` provides a way to extract items from `argoFloats` objects,
#' without getting lost in the details of storage.
#' See \code{\link{[[,argoFloats-method}} for details.
#' (Note that `[[<-` is *not* specialized, since the
#' user is highly discouraged from altering values within `argoFloats`
#' objects.)
#'
#' 2. `plot()` provides simple ways to plot aspects of [`argoFloats-class`] objects.
#' See [plot,argoFloats-method()] for details.
#'
#' 3. `summary()` displays key features of [`argoFloats-class`] objects.
#' See [summary,argoFloats-method()] for details.
#'
#' 4. `show()` provides a one-line sketch of [`argoFloats-class`] objects.
#' See [show,argoFloats-method()] for details.
#'
#' 5. `merge()` combines multiple index objects into a new index object.
#'
#' It should be noted that the profile elements within `argoFloats` objects are stored as
#' in the form of `argo` objects as defined by the `oce` package.
#' This means that `argoFloats` users can rely on
#' a wide variety of `oce` functions to analyze their data.
#' The full suite of R tools is also available, and the vastness of
#' that suite explains why `argoFloats` is written in R.
#'
#' Kelley, D. E., Harbin, J., & Richards, C. (2021). argoFloats: An R package for analyzing
#' Argo data. Frontiers in Marine Science, (8), 636922.
#' \doi{10.3389/fmars.2021.635922}
#'
#' @importFrom methods new
#' @name argoFloats
#' @docType package
#' @keywords internal
"_PACKAGE"
## usethis namespace: start
## usethis namespace: end
NULL
#' A Sample Index of Profiles
#'
#' This was created by subsetting a global index to the Argo profiles
#' that were within a 200km radius of Marsh Harbour, Abaco Island,
#' Bahamas, using the following code.
#' ```
# library(argoFloats)
#' indexAll <- getIndex()
#' index <- subset(indexAll,
#' circle=list(longitude=-77.06, latitude=26.54, radius=200))
#' ```
#'
#' @template server_caveat
#'
#' @examples
#' library(argoFloats)
#' data(index)
#' plot(index, bathymetry=FALSE)
#' @name index
#' @docType data
#' @family datasets provided with argoFloats
NULL
#' A Sample Index of Biogeochemical-Argo Profiles
#'
#' This was created by subsetting a global index to the BGC Argo profiles
#' that were within a 300km radius of Marsh Harbour, Abaco Island,
#' Bahamas, using the following code.
#'```
#' library(argoFloats)
#' indexAll <- getIndex("bgc")
#' indexBgc <- subset(indexAll,
#' circle=list(longitude=-77.06, latitude=26.54, radius=300))
#'```
#'
#' @template server_caveat
#'
#' @examples
#' library(argoFloats)
#' data(indexBgc)
#' plot(indexBgc, bathymetry=FALSE)
#' summary(indexBgc)
#' unique(indexBgc[["parameters"]])
#' @name indexBgc
#' @docType data
#' @family datasets provided with argoFloats
NULL
## A sample index of merged Argo and biogeochemical-Argo profiles
##
## This was created by subsetting a global index to the BGC Argo profiles
## that were within a 300km radius of Marsh Harbour, Abaco Island,
## Bahamas, using the following code.
##```
## library(argoFloats)
## indexAll <- getIndex("merged")
## indexMerged <- subset(indexAll,
## circle=list(longitude=-77.06, latitude=26.54, radius=300))
##```
##
## @template server_caveat
##
## @examples
## library(argoFloats)
## data(indexMerged)
## plot(indexMerged, bathymetry=FALSE)
## summary(indexMerged)
## unique(indexMerged[["parameters"]])
## @name indexMerged
## @docType data
## @family datasets provided with argoFloats
NULL
#' A Sample Index of Synthetic Profiles
#'
#' This was created by subsetting a global index to the BGC Argo profiles
#' that were within a 300km radius of Marsh Harbour, Abaco Island,
#' Bahamas, using the following code.
#'```
#' library(argoFloats)
#' indexAll <- getIndex("synthetic")
#' indexSynthetic <- subset(indexAll,
#' circle=list(longitude=-77.06, latitude=26.54, radius=300))
#'```
#' This "synthetic" type of index is a replacement for the older "merged" index. See
#' `http://www.argodatamgt.org/Data-Mgt-Team/News/BGC-Argo-synthetic-profiles-distributed-on-GDAC`
#' for more on the data file format, the reasons for the change, and the
#' timetable for the transition from "merged".
#'
#' @template server_caveat
#'
#' @examples
#' library(argoFloats)
#' data(indexSynthetic)
#' plot(indexSynthetic, bathymetry=FALSE)
#' summary(indexSynthetic)
#' unique(indexSynthetic[["parameters"]])
#' @name indexSynthetic
#' @docType data
#' @family datasets provided with argoFloats
NULL
#' A Sample Index of Deep Argo
#'
#' This was created by subsetting a global index to the deep Argo profiles
#' that were within a 800km radius of Antarctica (67S,105E),
#' using the following code.
#'```
#' library(argoFloats)
#' subset <- subset(getIndex(), deep=TRUE)
#' sub2 <- subset(subset, circle=list(longitude=105, latitude=-67, radius=800))
#'```
#'
#' @template server_caveat
#'
#' @examples
#' library(argoFloats)
#' data(indexDeep)
#' plot(indexDeep, bathymetry=FALSE)
#' summary(indexDeep)
#' @name indexDeep
#' @docType data
#' @family datasets provided with argoFloats
NULL
#' Base Class for argoFloats Objects
#'
#' In the normal situation, users will not create these objects directly. Instead,
#' they are created by functions such as [getIndex()].
#'
#' @slot data The `data` slot is a list with contents that vary with the object type. For example,
#' [getIndex()] creates objects of type `"index"` that have a single unnamed
#' element in `data` that is a data frame. This data frame has a column named `file`
#' that is used in combination with `metadata@ftpRoot` to form a URL for downloading,
#' along with columns named `date`, `latitude`, `longitude`,
#' `ocean`, `profiler_type`, `institution` and `date_update`. Other "get" functions
#' create objects with different contents.
#'
#' @slot metadata The `metadata` slot is a list containing information about the data. The contents vary
#' between objects and object types. That type is indicated by elements named
#' `type` and `subtype`, which are checked by many functions within the package.
#'
#' @slot processingLog The `processingLog` slot is a list containing time-stamped processing steps that may be
#' stored in the object by argoFloats functions. These are noted in `summary()` calls.
#'
#' @examples
#' str(new("argoFloats"))
setClass("argoFloats", slots=c(metadata="list", data="list", processingLog="list"))
setMethod(f="initialize",
signature="argoFloats",
definition=function(.Object, type="unspecified", subtype="cycles") {
.Object@data <- list()
.Object@metadata$type <- type
.Object@metadata$subtype <- subtype
.Object@processingLog$time <- as.POSIXct(Sys.time())
.Object@processingLog$value <- "create 'argoFloats' object"
return(.Object)
})
#' Look up a Value Within an argoFloats Object
#'
#' This function provides an easy way to look up values within an [`argoFloats-class`]
#' object, without the need to know the exact structure of the data. The action
#' taken by `[[` depends on the `type` element in the `metadata` slot of
#' the object (which is set by the function that created the object), on the
#' value of `i` and, in some cases, on the value of `j`; see \dQuote{Details}.
#'
#' There are several possibilities, depending on the object `type`, as
#' listed below. Note that these possibilities are checked in the
#' order listed here.
#'
#' 1. For all object types:
#' 1. If `i` is `"metadata"` then the `metadata` slot of `x` is returned.
#' 2. Otherwise, if `i` is `"data"` then the `data` slot of `x` is returned.
#' 3. Otherwise, if `i` is `"cycle"` then a character vector of the cycle
#' numbers is returned.
#' 4. Otherwise, if `i` is `"processingLog"` then the `processingLog` slot of
#' `x` is returned.
#' 5. Otherwise, if `i` is `"ID"` then a character vector of the ID numbers
#' is returned.
#' 6. Otherwise, the following steps are taken, depending on `type`.
#'
#' 2. If `type` is `"index"`, i.e. if `x` was created with [getIndex()]
#' or with [subset,argoFloats-method()] acting on the result of [getIndex()],
#' then:
#' 1. If `i` is numeric and `j` is unspecified, then `i` is taken to
#' be an index that identifies the row(s) of the data frame that
#' was constructed by [getIndex()] based on the remote index file
#' downloaded from the Argo server. This has elements `file` for
#' the remote file name, `date` for the date of the entry, `latitude`
#' and `longitude` for the float position, etc.
#' 3. If `i` is the name of an item in the `metadata` slot, then that item
#' is returned. The choices are:
#' `"destdir"`, `"destfileRda"`, `"filename"`, `"ftpRoot"`, `"header"`,
#' `"server"`, `"type"`, and `"url"`.
#' 4. Otherwise, if `i` is the name of an item in the `data` slot, then that item
#' is returned. The choices are:
#' `"date"`, `"date_update"`, `"file"`, `"institution"`, `"latitude"`,
#' `"longitude"`, `"ocean"`, and `"profiler_type"`. Note that `"time"` and
#' `"time_update"` may be used as synonyms for `"date"` and `"date_update"`.
#' 5. Otherwise, if `i=="index"` then that item from the `data` slot of `x` is returned.
#' (For the possible names, see the previous item in this sub-list.)
#' 6. Otherwise, if `i` is an integer, then the `i`-th row of the `index` item in
#' the `data` slot is returned. This is a good way to learn the
#' longitude and latitude of the profile, the file name on the server,
#' etc.
#' 7. Otherwise, if `i` is `"ID"` then the return value is developed from the
#' `index$file` item within the `data` slot of `x`, in one of three cases:
#' 1. If `j` is not supplied, the return value is a vector holding the
#' identifiers (character codes for numbers) for all the data files
#' referred to in the index.
#' 2. Otherwise, if `j` is numeric, then the return value is a subset of
#' the ID codes, as indexed by `j`.
#' 3. Otherwise, an error is reported.
#' 8. If `i` is `"length"`, the number of remote files pointed to by the index
#' is returned.
#' 3. Otherwise, if `type` is `"profiles"`, i.e. if `x` was created with [getProfiles()], then:
#' 1. If `i` is numeric and `j` is unspecified, then return the local file name(s)
#' that are identified by using `i` as an index.
#' 2. If `i` is the name of an item in the `metadata` slot, then that item
#' is returned. The choices are:
#' `"type"` and `"destdir"`.
#' 3. Otherwise, if `i` is the name of an item in the `data` slot, then that item
#' is returned. There is only one choice: `"file"`.
#' 4. If `i` is `"length"`, the number of local file names that were downloaded
#' by [getProfiles()] is returned.
#' 4. Otherwise, if `type` is `"argos"`, i.e. if `x` was created with [readProfiles()], then:
#' 1. If `i` is equal to `"argos"`, and `j` is unspecified, then a list
#' holding the [oce::argo-class] objects stored within `x` is returned.
#' 2. If `i` is equal to `"argos"`, and `j` is provided, then the associated
#' [oce::argo-class] object is returned.
#' 3. If `i` is numeric and `j` is unspecified, then return the argo objects identified
#' by using `i` as an index.
#' 4. If `i` is the name of an item in the `metadata` slot, then that item
#' is returned. There is only choice, `"type"`.
#' 5. Otherwise, if `i` is the name of an item in the `data` slot, then that item
#' is returned as a named list. (At present, there is only one choice: `"argos"`.)
#' 6. Otherwise, if `i` is `"length"` then the number of oce-type argo objects in `x` is returned.
#' 7. Otherwise, if `i` is a character value then it is taken to be
#' an item within the `metadata` or `data` slots of the argo objects
#' stored in `x`, and the returned value is a list containing that
#' information with one (unnamed) item per profile.
#' If `j` is provided
#' and equal to `"byLevel"`, then the items from the `metadata` are
#' repeated (if necessary) and formed into matrix or vector of the same
#' shape as the `"pressure"` field; this can be convenient for computations
#' involving items that only occur once per profile, such as `"longitude"`,
#' but it should not be used for items that are not level-specific, such
#' as the various `"HISTORY_*"` elements, which apply to a dataset, not to
#' a level
#' 8. Otherwise, NULL is reported.
#' 5. Otherwise, an error is reported.
#. For more on this function, see Kelley et al. (2021).
#'
#' @param x an [`argoFloats-class`] object.
#' @param i a character value that specifies the item to be looked up;
#' see \dQuote{Details}.
#' @param j supplemental index value, used for some `x` types
#' and `i` values; see \dQuote{Details}.
#' @param ... ignored.
#'
#' @examples
#' data(index)
#' # Full remote filename for first two item in index
#' paste0(index[["server"]], "/dac/", index[["cycle", 1:2]])
#' # File names and geographical locations of first 5 items in index
#' index5 <- subset(index, 1:5)
#' data.frame(file=gsub(".*/", "", index5[["file"]][1]),
#' lon=index5[["longitude"]],
#' lat=index5[["latitude"]])
#'
#' @references
#' Kelley, D. E., Harbin, J., & Richards, C. (2021). argoFloats: An R package for analyzing
#' Argo data. Frontiers in Marine Science, (8), 636922.
#' \doi{10.3389/fmars.2021.635922}
#'
#' @return the indicated item, or NULL if it is neither stored within the first argument
#' nor computable from its contents.
#'
#' @export
#'
#' @docType methods
#'
#' @aliases [[,argoFloats-method
#'
#' @author Dan Kelley
setMethod(f="[[",
signature(x="argoFloats", i="ANY", j="ANY"),
definition=function(x, i, j, ...) {
if (missing(i))
stop("Must name an item to retrieve, e.g. 'x[[\"latitude\"]]'", call.=FALSE)
dots <- list(...)
debug <- if (!is.null(dots$debug)) dots$debug else 0
argoFloatsDebug(debug, "[[,argoFloats-method with i=", i, " and j=", if (missing(j)) "(missing)" else j, "\n", sep="", style="bold", unindent=1)
if (length(i) == 1 && i == "metadata") {
argoFloatsDebug(debug, "} # returned metadata slot\n", style="bold", unindent=1)
return(x@metadata)
}
if (length(i) == 1 && i == "data") {
argoFloatsDebug(debug, "} # returned data slot\n", style="bold", unindent=1)
return(x@data)
}
if (length(i) == 1 && i == "processingLog") {
argoFloatsDebug(debug, "} # returned processingLog slot\n", style="bold", unindent=1)
return(x@processingLog)
}
type <- x@metadata$type
istraj <- identical(x@metadata$subtype, "trajectories")
if (type == "index") {
argoFloatsDebug(debug, "Handling type \"index\" case (istraj=", istraj, ").\n", sep="")
if (is.numeric(i)) {
return(x@data$index[i,])
} else if (length(i) == 1 && i == "index") {
return(x@data$index)
} else if (length(i) == 1 && i %in% names(x@metadata)) {
return(x@metadata[[i]])
} else if (length(i) == 1 && i %in% names(x@data$index)) {
return(if (missing(j)) x@data$index[[i]] else x@data$index[[i]][j])
} else if (length(i) == 1 && i == "profile") {
stop("In [[ : the old syntax [[\"profile\"]] is no longer converted to [[\"cycle\"]]")
## changed to stop() 2020-10-07
## warning("converted x[[\"profile\"]] to x[[\"cycle\"]] for backwards compatibility;\n NOTE: this conversion will cease after September, 2020.")
## cycle <- gsub("^.*[/\\\\][A-Z]*[0-9]*_([0-9]{3,4}[D]{0,1})\\.nc$", "\\1", x@data$index$file)
## return(as.vector(if (missing(j)) cycle else cycle[j]))
} else if (length(i) == 1 && i == "cycle" && !istraj) {
cycle <- gsub("^.*[/\\\\][A-Z]*[0-9]*_([0-9]{3,4}[D]{0,1})\\.nc$", "\\1", x@data$index$file, perl=TRUE)
return(as.vector(if (missing(j)) cycle else cycle[j]))
} else if (length(i) == 1 && i == "ID" && !istraj) {
ID <- gsub("^.*[/\\\\][A-Z]*([0-9]*)_[0-9]{3,4}[A-Z]*\\.nc$", "\\1", x@data$index$file, perl=TRUE)
#test told <- system.time({IDold <- gsub("^.*[/\\\\][A-Z]*([0-9]*)_[0-9]{3,4}[A-Z]*\\.nc$", "\\1", x@data$index$file)})
#test tnew <- system.time({ID <- gsub("^.*[/\\\\][A-Z]*([0-9]*)_[0-9]{3,4}[A-Z]*\\.nc$", "\\1", x@data$index$file, perl=TRUE)})
#test message("old=", told[1], "s, new=", tnew[1], "s (", round(told[1]/tnew[1],2), "X faster)")
#test stopifnot(all.equal(IDold, ID))
return(as.vector(if (missing(j)) ID else ID[j]))
} else if (length(i) == 1 && i == "ID" && istraj) {
ID <- gsub("^.*[/\\\\][A-Z]*([0-9]*)_[A-Z]*traj*\\.nc$", "\\1", x@data$index$file)
return(as.vector(if (missing(j)) ID else ID[j]))
} else if (length(i) == 1 && i == "length") {
return(length(x@data$index$file))
} else if (length(i) == 1 && i == "parameters") {
stop("there are no parameters for core Argo index objects. Try BGC, Merged, or Synthetic Argo.", call.=FALSE)
} else if (length(i) == 1 && i == "time") {
return(x@data$index$date)
} else if (length(i) == 1 && i == "time_update") {
return(x@data$index$date_update)
} else {
subtype <- if (is.null(x@metadata$subtype)) "cycles" else x@metadata$subtype
stop("no \"", paste(i, collapse=","), "\" in an object of type=\"index\" and subtype=\"", subtype, "\"", call.=FALSE)
}
} else if (type == "profiles") { # made by getProfiles()
argoFloatsDebug(debug, "Handling type==\"profiles\" case.\n")
if (is.numeric(i) && missing(j)) {
return(x@data$file[[i]])
} else if (length(i) == 1 && i == "cycle") {
cycle <- gsub("^.*[/\\\\][A-Z]*[0-9]*_([0-9]{3,4})[A-Z]*\\.nc$", "\\1", x[["file"]])
return(as.vector(if (missing(j)) cycle else cycle[j]))
} else if (length(i) == 1 && i == "ID") {
ID <- gsub("^.*[/\\\\][A-Z]*([0-9]*)_[0-9]{3,4}[A-Z]*\\.nc$", "\\1", x[["file"]])
return(as.vector(if (missing(j)) ID else ID[j]))
} else if (length(i) == 1 && i %in% names(x@metadata)) {
return(x@metadata[[i]])
} else if (length(i) == 1 && i %in% names(x@data)) {
if (missing(j)) {
return(x@data[[i]])
} else if (is.numeric(j)) {
return(x@data[[i]][j])
} else {
stop("if j is given, it must be numeric")
}
} else if (length(i) == 1 && i == "length") {
return(length(x@data$file))
} else {
stop("cannot interpret i=", paste(i, collapse=","), " for an object of type=\"", type, "\"")
}
} else if (type == "argos") { # made by readProfiles()
argoFloatsDebug(debug, "Handling type==\"argos\" case.\n")
if (is.numeric(i) && missing(j)) {
return(x@data$argos[[i]])
} else if (length(i) == 1 && i %in% names(x@metadata)) {
argoFloatsDebug(debug, "i=\"", i, "\" is in metadata\n")
return(x@metadata[[i]])
} else if (length(i) == 1 && i %in% names(x@data)) {
argoFloatsDebug(debug, "i=\"", i, "\" is in data\n")
return(if (missing(j)) x@data[[i]] else x@data[[i]][[j]])
} else if (length(i) == 1 && i == "cycle") {
argoFloatsDebug(debug, "i=\"", i, "\"\n", sep="")
cycle <- gsub("^.*[/\\\\][A-Z]*[0-9]*_([0-9]{3,4})[A-Z]*\\.nc$", "\\1", unlist(x[["filename"]]))
return(as.vector(if (missing(j)) cycle else cycle[j]))
} else if (length(i) == 1 && i == "length") {
return(length(x@data$argos))
} else if (length(i) == 1 && i == "filename") {
argoFloatsDebug(debug, "i=\"", i, "\" is detected specifically\n")
ID <- unlist(lapply(x@data$argos, function(a) a[["filename"]]))
return(as.vector(if (missing(j)) ID else ID[j]))
} else if (length(i) == 1 && i == "ID") {
ID <- unlist(lapply(x@data$argos, function(a) a[["id"]][1])) # IMPORTANT: oce calls it "id"
return(as.vector(if (missing(j)) ID else ID[j]))
} else {
argoFloatsDebug(debug, "No special argoFloats::[[ case found, so will try oce::[[ on each item within x@data$argos.\n")
if (!missing(j)) {
argoFloatsDebug(debug, "WARNING: j was given, so the results may be wrong.\n")
if (j != "byLevel")
stop("[[\"", i, "\"]], j]] requires that j be \"byLevel\", not \"", j, "\"")
return(lapply(x[["argos"]],
function(a) {
pressure <- a[["pressure"]]
if (is.matrix(pressure))
matrix(a[[i]], nrow=nrow(pressure), ncol=ncol(pressure))
else
rep(a[[i]], length.out=length(pressure))
}))
} else {
if (i == "longitude" || i == "latitude") {
argoFloatsDebug(debug, "returning", i, "from the oce::argo object metadata\n")
RES <- lapply(x@data$argos, function(a) a[[i]])
argoFloatsDebug(debug, "}\n", style="bold", unindent=1)
return(RES)
} else {
argoFloatsDebug(debug, "Determining \"", i, "\" with oce::as.ctd() and then oce::[[,ctd-method.\n", sep="")
if (!requireNamespace("oce", quietly=TRUE))
stop("must install.packages(\"oce\"), for [[ to work")
## OLD computable <- c("CT", "SA", "sigmaTheta", "spice")
RES <- lapply(x[["argos"]],
function(a) {
a[[i]] # note that this might be i, or adjusted i
})
argoFloatsDebug(debug, "} # [[,argoFloats-method\n", style="bold", unindent=1)
return(RES)
}
}
}
} else {
stop("the object type must be \"index\", \"profiles\", or \"argos\", but it is \"", type, "\"")
}
if (i %in% c("longitude", "latitude")) {
res <- if (type == "argos") {
## argoFloatsDebug(debug, "type=\"argos\"\n", sep="")
unlist(lapply(x[["argos"]], function(a) rep(a[[i]], length=length(a[["salinity"]]))))
} else if (type == "index") {
x@data$index[[i]]
} else {
stop("[[\"", i, "\"]] only works for objects created by readProfiles()")
}
## argoFloatsDebug(debug, "[[ for '", i, "' returning ", length(res), " values\n", sep="")
return(res)
}
return(NULL)
})
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