timeFilter-class | R Documentation |
Define a filter
that removes stretches of unusual data
distribution within a single parameter over time. This can be used to
correct for problems during data acquisition like air bubbles or clods.
timeFilter(..., bandwidth=0.75, binSize, timeParameter,
filterId="defaultTimeFilter")
... |
The names of the parameters on which the filter is supposed to work on. Names can either be given as individual arguments, or as a list or a character vector. |
filterId |
An optional parameter that sets the |
bandwidth , binSize |
Numerics used to set the |
timeParameter |
Character used to set the |
Clods and disturbances in the laminar flow of a FACS instrument can cause
temporal aberrations in the data acquisition that lead to artifactual
values. timeFilters
try to identify such stretches of disturbance by
computing local variance and location estimates and to remove them from the
data.
Returns a timeFilter object for use in filtering
flowFrame
s or other flow cytometry objects.
bandwidth
Object of class "numeric"
. The
sensitivity of the filter, i.e., the amount of local variance of
the signal we want to allow.
binSize
Object of class "numeric"
. The size
of the bins used for the local variance and location
estimation. If NULL
, a reasonable default is used when
evaluating the filter.
timeParameter
Object of class "character"
,
used to define the time domain parameter. If NULL
, the
filter tries to guess the time domain from the flowFrame
.
parameters
Object of class "character"
,
describing the parameters used to filter the flowFrame
.
filterId
Object of class "character"
,
referencing the filter.
Class "parameterFilter"
, directly.
Class "concreteFilter"
, by class
parameterFilter
, distance 2.
Class "filter"
, by class parameterFilter
,
distance 3.
Objects can be created by calls of the form new("timeFilter",
...)
or using the constructor timeFilter
. Using the
constructor is the recommended way.
signature(x = "flowFrame", table =
"timeFilter")
: The workhorse used to evaluate the filter on
data. This is usually not called directly by the user.
signature(object = "timeFilter")
: Print
information about the filter.
See the documentation of timeLinePlot
in
the flowViz
package for details on
visualizing temporal problems in flow cytometry data.
Florian Hahne
flowFrame
, filter
for
evaluation of timeFilters
and split
and
Subset
for splitting and subsetting of flow cytometry data sets
based on that.
## Loading example data
data(GvHD)
dat <- GvHD[1:10]
## create the filter
tf <- timeFilter("SSC-H", bandwidth=1, filterId="myTimeFilter")
tf
## Visualize problems
## Not run:
library(flowViz)
timeLinePlot(dat, "SSC-H")
## End(Not run)
## Filtering using timeFilters
fres <- filter(dat, tf)
fres[[1]]
summary(fres[[1]])
summary(fres[[7]])
## The result of rectangle filtering is a logical subset
cleanDat <- Subset(dat, fres)
## Visualizing after cleaning up
## Not run:
timeLinePlot(cleanDat, "SSC-H")
## End(Not run)
## We can also split, in which case we get those events in and those
## not in the gate as separate populations
allDat <- split(dat[[7]], fres[[7]])
par(mfcol=c(1,3))
plot(exprs(dat[[7]])[, "SSC-H"], pch=".")
plot(exprs(cleanDat[[7]])[, "SSC-H"], pch=".")
plot(exprs(allDat[[2]])[, "SSC-H"], pch=".")
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