RPPASetSummary-class {RPPASPACE} | R Documentation |
Class “RPPASetSummary”
Description
The RPPASetSummary class contains the summary information derived from an RPPASet object.
Usage
RPPASetSummary(rppaset,
onlynormqcgood=ran.prefitqc(rppaset))
is.RPPASetSummary(x)
## S4 method for signature 'RPPASetSummary'
write.summary(object,
path,
prefix="rppaspace",
...)
Arguments
rppaset |
object of class |
onlynormqcgood |
logical scalar. If |
x |
object of class |
object |
object of class |
path |
character string specifying the path from the current directory to the directory containing the files to be processed |
prefix |
character string used as a prefix on files generated by
the |
... |
extra arguments for generic routines |
Value
The RPPASetSummary
generator returns an object of class
RPPASetSummary
.
The is.RPPASetSummary
method returns TRUE
if its
argument is an object of class RPPASetSummary
.
The write.summary
method invisibly returns NULL
.
Objects from the Class
Although objects of the class can (in theory) be created by a direct call
to new, the only realistic method is to use the
RPPASetSummary
generator function.
Slots
raw
:numeric matrix of raw concentrations
ss
:numeric matrix of
R^2
statistical valuesnorm
:numeric matrix of normalized concentrations
probs
:numeric vector of goodness of fit probabilities, or
NULL
(if pre-fit QC analysis was not requested)completed
:logical matrix specifying stage completion for each slide
noise
:numeric vector of calculated log concentrations for noise qc values for positive control dilution series with Spot.Types designated as posCtrl-Noise or Noise.
design
:object of class
RPPADesignParams
, common to all the slidesonlynormqcgood
:logical scalar specifying if raw concentrations were filtered according to their pre-fit quality control scores prior to normalization
version
:character string containing the version of this package used to construct the object
Methods
- write.summary
-
signature(object = "RPPASetSummary")
:
Potentially generates multiple CSV and TSV files: one for the raw concentrations (rppaspace_conc_raw.csv"), one for the
R^2
statistics (rppaspace_ss_ratio.csv), and one for the normalized concentrations (rppaspace_conc_norm_[norm_method].csv); a fourth file containing the goodness of fit probabilities (rppaspace_prefit_qc.csv) may be present if pre-fit QC analysis was requested. If spatial adjustments were requested, a TSV file (spatial_adjustments.tsv) will be created. If positive control dilution series have been declared as Noise or PosCtrl-Noise points in the design file, an additional CSV file of noise statistics will be created (rppaspace_noise.csv). If prefit QC analysis was done and/or noise qc metric were created, a combined qc metrics file will be created (rppaspace_combined_qc.csv) as well. Additionally, a TSV file detailing completion of each stage of processing for each slide is produced (rppaspace_summary.tsv).
Note
The three CSV files may be reordered (to match that of the original input) when written to disk.
Author(s)
P. Roebuck paul_roebuck@comcast.net, James M. Melott jmmelott@mdanderson.org