Description Usage Arguments Value Examples
View source: R/estimateEdgeEffect.R
This function estimates the intensity of edge effect on each screen plate by comparing the median signal intensities on the edge to those on the inner plate. The results will be shown as a bar plot with plate IDs as x-axis and edge effect intensities as y-axis.
1 2 3 4 5 6 7 | estimateEdgeEffect(
screenData,
nLayer = 1,
onlyNeg = TRUE,
identifier = "fileName",
pdfName = NULL
)
|
screenData |
a data frame containing the screening results generated by |
nLayer |
an integer value (larger than 1), which indicates up to how many layers on the edge of the screen are considered as edges. The default value is 1. |
onlyNeg |
a logical value, whether only wells annotated as negative controls are used for edge effect estimation.
If |
identifier |
a character string specifying the column in the input data frame that should be used as identifiers (x-axis) in the plot. Default value is "fileName". If one identifier matches several plates, error bars indicating standard deviations will be shown in the plot. |
pdfName |
either NULL or a character string specifying the output file name for the plot in pdf format. If NULL, no plot will be created. |
Depends on the number N specified with the nLayer
argument, this function will add N columns with the names edgeRatio1, edgeRatio2, ... edgeRationN. Each column contains the estimated edge effect intensity when considering the N outer layers on the plate as edge layers.
If a file name is specified for the pdfName
argument, a pdf file that contains a bar plot visualizing the edge effect intensity will be created in the working directly.
1 2 3 4 5 6 7 8 | # load processed data
data('screenData_normalized')
# estimate the intensity of edge effect.
# The wells from the first outside layer on the plate will be defined as the edge wells.
estimateEdgeEffect(screenData_normalized, nLayer =1)
# Please see the vignette for more information.
|
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