ev {pmev} | R Documentation |
Get linearly scaled variable based on optimal bins
Description
Get linearly scaled variable based on optimal bins
Get linearly scaled variable based on optimal bins
Details
Finds outliers and then bands between 0 and 1 on optimal bins of non-outlier data
Public fields
planned_value
(
numeric()
)
Planned value scheduleearned_value
(
numeric()
)
Earned value calculations
Methods
Public methods
Method new()
Usage
ev$new( start, end, progress, planned_cost, project_value, cost_to_date, date = today() )
Arguments
start
Start Date of activity
end
End Date of activity
progress
Proportion between 0 and 1 representing percentage completed for each activity (1 = 100% complete)
planned_cost
The planned costs of each activity
project_value
The total value of the project
cost_to_date
The total amount spent on the project to date
date
Character date "YYYY-MM-DD". Defaults to today.
Returns
A new ev
object.
Method plot()
Plots the planned and earned values
Usage
ev$plot()
Method clone()
The objects of this class are cloneable with this method.
Usage
ev$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.
Examples
data(project)
tmp <- ev$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)
[Package pmev version 0.1.2 Index]