Analysis in R: Can also be used for process control. Creation of Gantt charts ‘PlotPrjNetworks’ package.

Creating Gantt charts is surprisingly difficult, but the ”PlotPrjNetworks” package makes it easy. Complex Gantt charts can be created. Please give it a try.

Package version is 1.0.0. Checked with R version 4.2.2.

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Install Package

Run the following command.

#Install Package
install.packages("PlotPrjNetworks")

Example

See the command and package help for details.

#Loading the library

library("PlotPrjNetworks")

#Create project data
#Process name, start and end date data required
TasksData <- data.frame(task = paste0("Test", 1:10),
                        start = c("2015-07-05", "2015-08-05", "2015-10-05",
                                  "2016-01-05", "2016-03-18", "2016-04-05",
                                  "2016-07-05", "2016-09-05", "2017-01-05",
                                  "2017-03-18"),
                        end = c("2015-08-01", "2015-9-05", "2016-01-05",
                                "2016-03-18", "2016-04-18", "2016-07-05",
                                "2016-9-05", "2017-01-05", "2017-03-18",
                                "2017-04-18"))

#Project management data
#form,to: relationship between processes, type: method of joining lines;
#F: from the "end", S: from the "start", delay: setting of construction time delay
#The upper and lower triangular symbols shown
#for each process indicate the shortest time at
#the top and the delay tolerance at the bottom
InfoData <- data.frame(from = c(1, 2, 3, 4, 5, 6, 7, 8, 9),
                          to = c(3, 3, 4, 5, 7, 8, 8, 9, 10),
                          type = c("FS", "FF", "FS", "FS", "FS", "SS", "FS", "FF", "FS"),
                          delay = c(0, 0, 0, 0, 0, 0, 0, 0, 0))

#Plot
GanttChart(TasksData, InfoData)

Output Example

少しでも、あなたの解析が楽になりますように！！

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Amazonで川瀬 雅也, 松田 史生の生命科学・生物工学のための 間違いから学ぶ実践統計解析: R・Pythonによるデータ処理事始め (New paradigm! On-demand publishing)。アマゾンならポイント還元本が多数。

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