time management graph
Maybe something like the punch cards on github? https://github.com/hadley/ggplot2/graphs/punch-card ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance Kliniekstraat 25 1070 Anderlecht Belgium To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey 2015-06-24 16:33 GMT+02:00 PIKAL Petr <petr.pikal at precheza.cz>:
Hi Thierry
Thanks a lot. This is the option I found later.
Still not 100% satisfactory. Maybe somebody did similar task and will have
different opinion how to visualise such data.
Jim?s gant diagrams are worth consideration so I will try to elaborate it
further.
Cheers
Petr
*From:* Thierry Onkelinx [mailto:thierry.onkelinx at inbo.be]
*Sent:* Wednesday, June 24, 2015 1:48 PM
*To:* PIKAL Petr
*Cc:* r-help at r-project.org
*Subject:* Re: [R] time management graph
Another option would be to use segments instead of lines.
library(lubridate)
temp$end <- temp$time + minutes(temp$duration)
library(ggplot2)
ggplot(temp, aes(x=time, xend = end, y=Typ, yend = Typ, colour=person)) +
geom_segment()
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium
To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to say
what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey
2015-06-24 12:50 GMT+02:00 Jim Lemon <drjimlemon at gmail.com>:
Hi Petr,
I'm not exactly sure this is what you are looking for, but try:
start_indices<-which(!is.na(temp$duration))
pp_gantt_info<-list(
labels=paste(as.character(temp$person[start_indices]),
temp$Akce,temp$Typ,sep="-"),
starts=temp$time[start_indices],
ends=temp$time[start_indices+1],
require(plotrix)
vgridpos<-as.POSIXct(strptime(
paste("2015-06-23 ",c(16,17,18,19,20,21,22,23),":00:00",sep=""),
format="%Y-%m-%d %H:%M:%S"))
vgridlab<-paste(c(16,17,18,19,20,21,22,23),":00",sep="")
gantt.chart(pp_gantt_info,vgridpos=vgridpos,vgridlab=vgridlab)
Jim
On Wed, Jun 24, 2015 at 2:05 AM, PIKAL Petr <petr.pikal at precheza.cz>
wrote:
Dear all Did anybody tried to do time management graphs in R? I could do some aggregation xtabs(duration~person+Typ, data=temp) but I would like to make also a graph to show which task (Typ) and when
was done by which person. The closest I came till this evening is following graph, but it is not exactly what I want.
library(ggplot2) p<-ggplot(temp, aes(x=time, y=Typ, colour=person)) p+geom_line() If anybody can focus me to proper functions or packages I would be
greatful.
Here are the data.
temp <- structure(list(Akce = structure(c(16L, 18L, 20L, 13L, 1L, 15L,
4L, 12L, 8L, 22L, 16L, 15L, 5L, 24L, 13L, 16L, 6L, 1L, 15L, 11L,
1L, 5L, 24L, 7L, 1L, 10L, 21L, 23L, 3L, 2L, 9L, 14L, 17L, 20L,
13L, 14L, 19L, 14L, 4L, 1L, 15L, 5L, 24L, 13L, 15L, 1L, 14L,
11L, 15L, 5L, 24L, 7L, 1L, 10L, 14L, 23L, 3L, 2L, 9L), .Label = c("a",
"b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n",
"o", "p", "q", "r", "s", "t", "u", "v", "w", "x"), class = "factor"),
Typ = structure(c(4L, 6L, 6L, 6L, 2L, 6L, 6L, 1L, 1L, 8L,
4L, 6L, 6L, 6L, 6L, 4L, 1L, 2L, 6L, 5L, 2L, 6L, 6L, 6L, 2L,
3L, 4L, 6L, 7L, 4L, 4L, 7L, 7L, 6L, 6L, 7L, 6L, 7L, 6L, 2L,
6L, 6L, 6L, 6L, 6L, 2L, 7L, 5L, 6L, 6L, 6L, 6L, 2L, 3L, 7L,
6L, 7L, 4L, 4L), .Label = c("A", "B", "C", "D", "E", "F",
"G", "H"), class = "factor"), person = structure(c(1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("One",
"Two"), class = "factor"), time = structure(c(1435038600,
1435039200, 1435039800, 1435040100, 1435040400, 1435040760,
1435042200, 1435042680, 1435043220, 1435043400, 1435043700,
1435044300, 1435044600, 1435045200, 1435046400, 1435046700,
1435047000, 1435047300, 1435047600, 1435048800, 1435050600,
1435051200, 1435051800, 1435053300, 1435053900, 1435054500,
1435060800, 1435061700, 1435062000, 1435064400, 1435068000,
1435038600, 1435039200, 1435039800, 1435040100, 1435040280,
1435041060, 1435041600, 1435042200, 1435042800, 1435043400,
1435044600, 1435045200, 1435046400, 1435047000, 1435047300,
1435047600, 1435048800, 1435050600, 1435051200, 1435051800,
1435053300, 1435053900, 1435054500, 1435060800, 1435061700,
1435062000, 1435065600, 1435068000), class = c("POSIXct",
"POSIXt"), tzone = ""), duration = c(10, 10, 5, 5, 6, 24,
8, 9, 3, 5, 10, 5, 10, 20, 5, 5, 5, 5, 20, 30, 10, 10, 25,
10, 10, 105, 15, 5, 40, 60, NA, 10, 10, 5, 3, 13, 9, 10,
10, 10, 20, 10, 20, 10, 5, 5, 20, 30, 10, 10, 25, 10, 10,
105, 15, 5, 60, 40, NA)), .Names = c("Akce", "Typ", "person",
"time", "duration"), class = "data.frame", row.names = c(NA,
-59L))
Best regards Petr
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