| plates {opm} | R Documentation | 
Get all plates contained in an OPMS
object or a list, or create a list containing a single
OPM object as element, or apply a function
to a collection of OPM objects.
## S4 method for signature 'MOPMX' oapply(object, fun, ..., simplify = TRUE) ## S4 method for signature 'OPM' oapply(object, fun, ..., simplify = TRUE) ## S4 method for signature 'OPMS' oapply(object, fun, ..., simplify = TRUE) ## S4 method for signature 'MOPMX' plates(object) ## S4 method for signature 'WMD' plates(object) ## S4 method for signature 'WMDS' plates(object) ## S4 method for signature 'list' plates(object)
object | 
|
fun | 
 A function. Should accept an   | 
... | 
 Optional other arguments passed to
  | 
simplify | 
 Logical scalar. If   | 
The list method of plates traverses the input
recursively and skips all objects of other classes than
OPM. See also opms, which is
somewhat similar but more flexible.
oapply applies a function to all OPM
objects within an OPMS object. Optionally
it simplifies the result to an OPMS object
if possible, or other structures simpler than a list. The
OPM method of oapply simply applies
fun once (to object).
For plates, a list of OPM objects
(may be empty instead if object is a list). The
result of oapply depends on fun and
simplify: a list, vector, matrix or
OPMS object are possible outcomes.
base::list base::as.list base::sapply
Other conversion-functions: as.data.frame,
extract, extract_columns,
flatten, merge,
opmx, rep, rev,
sort, split,
to_yaml, unique
# plates(), 'OPM' method
summary(x <- plates(vaas_1)) # => list of OPM objects
##      Length Class Mode
## [1,] 1      OPMD  S4
stopifnot(is.list(x), length(x) == 1L, sapply(x, inherits, what = "OPM"))
# plates(), 'OPMS' method
summary(x <- plates(vaas_4)) # => list of OPM objects
##      Length Class Mode
## [1,] 1      OPMD  S4  
## [2,] 1      OPMD  S4  
## [3,] 1      OPMD  S4  
## [4,] 1      OPMD  S4
stopifnot(is.list(x), length(x) == 4L, sapply(x, inherits, what = "OPM"))
# plates(), list method
x <- list(vaas_1, letters, vaas_4, 1:10)
summary(x <- plates(x)) # => list of OPM objects
##      Length Class Mode
## [1,] 1      OPMD  S4  
## [2,] 1      OPMD  S4  
## [3,] 1      OPMD  S4  
## [4,] 1      OPMD  S4  
## [5,] 1      OPMD  S4
stopifnot(is.list(x), length(x) == 5, sapply(x, inherits, what = "OPM"))
## oapply()
summary(x <- oapply(vaas_4, identity)) # trivial
## 1
## Class                 OPMD
## From file             ./E. coli DSM
##                       18039_vim10_12B__1_28_PMX_0_8#30#2010_E_12B_5.csv
## Hours measured        95.75
## Number of wells       96
## Plate type            Gen III
## Position              12-B
## Setup time            8/30/2010 1:19:11 PM
## Metadata              5
## Aggregated            TRUE
## Discretized           TRUE
## 
## 2
## Class                 OPMD
## From file             ./E. coli DSM
##                       30083T_vim10_7B__1_28_PMX_0_8#30#2010_F_
##                       7B_5.csv
## Hours measured        95.75
## Number of wells       96
## Plate type            Gen III
## Position              7-B
## Setup time            8/30/2010 1:53:08 PM
## Metadata              5
## Aggregated            TRUE
## Discretized           TRUE
## 
## 3
## Class                 OPMD
## From file             ./P. aeruginosa DSM
##                       1707_vim10_17B__1_28_PMX_0_8#30#2010_D_17B_5.csv
## Hours measured        95.75
## Number of wells       96
## Plate type            Gen III
## Position              17-B
## Setup time            8/30/2010 12:31:46 PM
## Metadata              5
## Aggregated            TRUE
## Discretized           TRUE
## 
## 4
## Class                 OPMD
## From file             ./P. aeruginosa St.
##                       429_vim10_22B__1_28_PMX_0_8#30#2010_C_22B_5.csv
## Hours measured        95.75
## Number of wells       96
## Plate type            Gen III
## Position              22-B
## Setup time            8/30/2010 11:28:54 AM
## Metadata              5
## Aggregated            TRUE
## Discretized           TRUE
## 
## => OPMS object with 4 plates (4 aggregated, 4 discretized) of type 'Gen III', 96 well(s) and about 384 time point(s).
stopifnot(identical(x, vaas_4))
summary(x <- oapply(vaas_4, identity, simplify = FALSE)) # => yields list
##      Length Class Mode
## [1,] 1      OPMD  S4  
## [2,] 1      OPMD  S4  
## [3,] 1      OPMD  S4  
## [4,] 1      OPMD  S4
stopifnot(is.list(x), length(x) == 4, sapply(x, class) == "OPMD")