"QcMetric"
class for QC itemsQcMetric-class.Rd
Data structure for individual QC metrics items.
Objects can be created using the constructor QcMetric(...)
, where
slots are assigned individually. See example below.
name
:Object of class "character"
of length 1
naming the object
.
description
:Object of class "character"
of
arbitrary length describing the qc metric in more details.
qcdata
:Object of class "environment"
that
stores the actual data.
plot
:Object of class "function"
to graphically
represent the data and infer quality status.
show
:Object of class "function"
to print a
short textual representation of the object
. A reasonable
default value is provided.
status
:Object of class "logical"
that
indicates weather the data passes (TRUE
) or fails
(FALSE
) the metric or has not yet been evaluated.
signature(object = "QcMetric")
: retrieves the
name of the object
.
signature(object = "QcMetric", value =
"character")
: set the name of the object
.
signature(object = "QcMetric")
: retrieves the
description of the object
.
signature(object = "QcMetric", value =
"character")
: set the description of the object
.
signature(object = "QcMetric")
: retrieves the
status of the object
.
signature(object = "QcMetric", value =
"logical")
: sets the status of the object
s.
signature(object = "QcMetric", x = "missing")
:
lists all the data object
s that are associated with the
object
s.
signature(object = "QcMetric", x =
"character")
: retrieves the variable x
for the
object
.
signature(object = "QcMetric", var)
: creates
or overwrites (with a message) the data variable var
by
assigning the RHS value. If var
is missing and the RHS
expression is an environment, then qcdata
is reset with all
the variables in value
.
signature(object = "QcMetric")
: return the
environment
that stores the QC data.
signature(object = "QcMetric")
:
Set all variable in the RHS environment
as qcdata
variables. Equivalent to qcdata(object) <- x
where x
is an environment.
signature(object = "QcMetric")
: shows a textual
summary of object
. The default show
implementation
is available as the qcshow{object, qcdata}
function. The
second argument is a logical (default is TRUE
) that
specifies whether qcdata(object)
should be displayed.
signature(object = "QcMetric", value =
"function")
: sets a custom show
method for
object
.
signature(x = "QcMetric", y = "missing")
: plots
the object
using the provide show
method.
signature(object = "QcMetric", value =
"function")
: sets a custom plot
method for
object
.
signature(x = "QcMetric", ...)
: to generate
quality reports. See qcReport
for details.
The QcMetrics
class to bundle a set of
QcMetric
instances.
(qc <- QcMetric())
#> Object of class "QcMetric"
#> Name: A QcMetric prototype
#> Status: NA
#> Data: empty
qcdata(qc)
#> character(0)
try(qcdata(qc, "x"))
#> Error in qcdata(qc, "x") : No qcdata 'x' in object.
x <- rnorm(10)
qcdata(qc, "qc1") <- x
qcdata(qc, "qc2") <- 1:10
qcdata(qc)
#> [1] "qc1" "qc2"
all.equal(qcdata(qc, "qc1"), x)
#> [1] TRUE
all.equal(qcdata(qc, "qc2"), 1:10)
#> [1] TRUE
name(qc) <- "My test QcMetric"
description(qc) <- "This qc metric describes bla bla bla, indicating possible issues in the third step of protocol bla bla bla."
status(qc) <- FALSE
qc
#> Object of class "QcMetric"
#> Name: My test QcMetric
#> Description:
#> This qc metric describes bla bla bla, indicating possible issues in the
#> third step of protocol bla bla bla.
#> Status: FALSE
#> Data: qc1 qc2
## or
e <- new.env()
e$qc1 <- rnorm(100)
e$qc2 <- 1:100
qcenv(qc) <- e
length(qcdata(qc, "qc1"))
#> [1] 100
head(qcdata(qc, "qc2"))
#> [1] 1 2 3 4 5 6
show(qc)
#> Object of class "QcMetric"
#> Name: My test QcMetric
#> Description:
#> This qc metric describes bla bla bla, indicating possible issues in the
#> third step of protocol bla bla bla.
#> Status: FALSE
#> Data: qc1 qc2
show(qc) <- function(object) cat("Updated show method\n")
show(qc)
#> Updated show method
show(qc) <- qcshow
qc
#> Object of class "QcMetric"
#> Name: My test QcMetric
#> Description:
#> This qc metric describes bla bla bla, indicating possible issues in the
#> third step of protocol bla bla bla.
#> Status: FALSE
#> Data: qc1 qc2
plot(qc)
#> Warning: No specific plot function defined
plot(qc) <-
function(object, ...)
plot(qcdata(object, "qc2"),
qcdata(object, "qc1"),
xlab = "qc1",
ylab = "qc2",
...)
plot(qc)
plot(qc, col = "red", pch = 19)