diagPoisBG | R Documentation |
Perform diagnosis on Poisson background model
Perform diagnosis on Poisson background model
diagPoisBG(object, ...)
## S4 method for signature 'NanoStringGeoMxSet'
diagPoisBG(
object,
split = FALSE,
padj = FALSE,
padj_method = "BH",
cutoff = 1e-06,
generate_ppplot = TRUE
)
## S4 method for signature 'list'
diagPoisBG(
object,
padj = FALSE,
padj_method = "BH",
cutoff = 1e-06,
generate_ppplot = TRUE
)
object |
a list of sizefact, featfact, countmat, or id (if it is for mutliple slides) |
... |
additional argument list that might be used |
split |
indicator variable on whether it is for multiple slides (Yes, TRUE; No, FALSE) |
padj |
whether to adjust p value for outlier detection, default =TRUE |
padj_method |
p value adjustment method, default ="BH" |
cutoff |
p value(or adjusted p value) cutoff to determine outliers |
generate_ppplot |
whether to generate ppplot, default =TRUE |
a valid S4 object
lowtail - A matrix of lower tail probabilty, in assay slot
uptail - A matrix of upper tail probability, in assay slot
disper (or disper_sp if non single-valued groupvar is provided) - dispersion parameter in experimenetData
low_outlier - A matrix to indicate lower outliers (0:False, 1:True) in assay slot
upper_outlier - A matrix to indicate upper outliers (0:False, 1:True) in assay slot
a list of following items
lowtail - A matrix of lower tail probabilty
uptail - A matrix of upper tail probability
disper - dispersion parameter
outlier - A list of coodinates of lower and upper outliers
data(demoData)
demoData <- fitPoisBG(demoData, size_scale = "sum")
demoData <- diagPoisBG(demoData)
Biobase::notes(demoData)$disper
demoData <- fitPoisBG(demoData, groupvar = "slide name")
demoData <- diagPoisBG(demoData, split = TRUE)
Biobase::notes(demoData)$disper_sp
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.