View source: R/Fluidigm-methods.R
getConcordance | R Documentation |
Return the concordance between two assays (i.e. single cell and hundred cell).
The "average" of singleCellRef
(after adjusting for the number of cells) and
singleCellComp
are taken per gene, per groups
.
A data.frame
with one row per gene-groups
is returned with some additional columns.
getConcordance(
singleCellRef,
singleCellcomp,
groups = NULL,
fun.natural = expavg,
fun.cycle = logmean
)
getwss(concord, nexp)
getss(concord)
getrc(concord)
singleCellRef |
"reference" SingleCellAssay |
singleCellcomp |
"comparison" SingleCellAssay |
groups |
character vector giving variable(s) on which the comparison is conditioned |
fun.natural |
function to transform the SingleCellAssays to a mRNA proportional level |
fun.cycle |
inverse function of fun.natural |
concord |
data.frame returned by getConcordance |
nexp |
number of expressed cells per row in |
concordance between two assays
getwss()
: getrc the sum of squares, weighted by nexp
getss()
: return the sum of squares
getrc()
: Return Lin's (1989) concordance correlation coefficient
Andrew McDavid
plotSCAConcordance
data(vbetaFA)
sca1 <- subset(vbetaFA, ncells==1)
sca100 <- subset(vbetaFA, ncells==100)
concord <- getConcordance(sca1, sca100)
getss(concord)
getrc(concord)
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