estimateSeedSet: Estimate seed set in a head

In stuartWagenius/echinaceaLab: useful functions for the Echinacea Project

Estimate seed set in a head

Description

Estimate seed set in a head that was split into top, middle, and bottom using two different methods: one resampling based, the other a point estimate

Usage

estimateSeedSet(
  df,
  partials = TRUE,
  idCol = "headID",
  totalCols = c("topCount", "middleTotalCount", "bottomCount"),
  fullCols = c("topFull", "middleFull", "bottomFull"),
  sampCols = c("topSampleCount", "middleSampleCount", "bottomSampleCount"),
  partialCols = c("topPartial", "middlePartial", "bottomPartial")
)

Arguments

df	a data frame that contains seed set data
partials	if TRUE, partials will be included in
idCol	the column that contains the ids for each head
totalCols	a vector with names of the columns that contain counts for the total number of achenes in the top, middle, and bottom of the head
fullCols	a vector with names of the columns that contain counts for the number of full achenes in the top, middle, and bottom of the head
sampCols	a vector with names of the columns that contain counts for the number of achenes in the x-rayed sample for the top, middle, and bottom of the head
partialCols	a vector with names of the columns that contain counts for the number of partial achenes in the top, middle, and bottom of the head. If partial is FALSE, this can be ignored

Value

a data frame containing the id and estimates of seed set based on two methods of calculation. Columns "pointEstFull" and "acheneCt" result from the point estimate method and columns "sampleFull" and "sampleCount" result from the resampling method.

stuartWagenius/echinaceaLab documentation built on April 13, 2025, 5:22 a.m.