ev {pmev} | R Documentation |
Get linearly scaled variable based on optimal bins
Get linearly scaled variable based on optimal bins
Finds outliers and then bands between 0 and 1 on optimal bins of non-outlier data
planned_value
(numeric()
)
Planned value schedule
earned_value
(numeric()
)
Earned value calculations
new()
ev$new( start, end, progress, planned_cost, project_value, cost_to_date, date = today() )
start
Start Date of activity
end
End Date of activity
progress
Proportion between 0 and 1 representing percentage completed for each activity (1 = 100% complete)
planned_cost
The planned costs of each activity
project_value
The total value of the project
cost_to_date
The total amount spent on the project to date
date
Character date "YYYY-MM-DD". Defaults to today.
A new ev
object.
plot()
Plots the planned and earned values
ev$plot()
clone()
The objects of this class are cloneable with this method.
ev$clone(deep = FALSE)
deep
Whether to make a deep clone.
data(project)
tmp <- ev$new(start = project$start,
end = project$end,
progress = project$progress,
planned_cost = project$planned_cost,
project_value = 150000,
cost_to_date = 10000,
date = "2024-07-03")
plot(tmp)