pickInit: Interactively select model starting values
In flowPloidy: Analyze flow cytometer data to determine sample ploidy

Description Usage Arguments Details Value Author(s) Examples

Prompts the user to select the peaks to use as initial values for non-linear regression on a plot of the histogram data.

1	pickInit(fh)

`fh`	A `FlowHist` object

The raw histogram data are plotted, and the user is prompted to select the peak positions to use as starting values in the NLS procedure. This is useful when the automated peak-finding algorithm fails to discriminate between overlapping peaks, or is confused by noise.

Note that the A peak must be lower (smaller mean, further left) than the B peak. If the user selects the A peak with a higher mean than the B peak, the peaks will be swapped to ensure A is lower.

pickInit returns the FlowHist object with its initial value slot updated.

Tyler Smith

library(flowPloidyData) 
fh2 <- FlowHist(file = flowPloidyFiles()[2], channel = "FL3.INT.LIN")
plot(fh2, init = TRUE) ## automatic peak estimates
## Not run: 
fh2 <- pickInit(fh2)   ## hand-pick peak estimates

## End(Not run)
plot(fh2, init = TRUE) ## revised starting values