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The goal of pmev is to implement project management tracking metrics as outlined in the Project Management Body of Knowledge (PMBOK) manual which can be found .
You can install the development version of pmev from GitHub with:
# install.packages("devtools")
::install_github("david-hammond/pmev") devtools
library(pmev)
data(project)
= earned_value(start = project$start,
ev end = project$end,
progress = project$progress,
planned_cost = project$planned_cost,
project_value = 150000,
cost_to_date = 10000,
date = "2024-07-03")
The Earned Value can then be plotted in the following way.
library(ggplot2)
library(dplyr)
library(lubridate)
= data.frame(date = ev$pv$end, type = 'Planned Value', value = ev$pv$planned_value)
pvalue = rbind(pvalue[1,] %>% mutate(type = "Earned Value"), data.frame(date = ev$ev$date,
evalue type = 'Earned Value',
value = ev$ev$earned_value))
= rbind(pvalue[1,] %>% mutate(type = "Actual Cost"), data.frame(date = ev$ev$date,
ac type = 'Actual Cost',
value = ev$ev$actual_cost))
= pvalue %>% rbind(evalue) %>% rbind(ac)
evalue = ggplot(evalue, aes(date, value, colour = type)) + geom_line(linewidth = 1.5) +
p scale_y_continuous(labels = scales::dollar, name = "Total Value",
sec.axis = sec_axis(~ . / max(pvalue$value),
labels = scales::label_percent())) +
labs(colour = "", title = "Earned Value Chart", x = "") + theme_bw() +
theme(legend.position = c(0.8, 0.2)) +
geom_vline(xintercept = ev$ev$date, linetype = "dashed", color = "cornflowerblue") +
annotate("text", x = ev$ev$date + days(1), y = max(evalue$value),
label = "Today", hjust = 0, vjust = 1.5, color = "cornflowerblue")
p
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.