R語(yǔ)言可視化(二十二):甘特圖繪制

22. 甘特圖繪制


清除當(dāng)前環(huán)境中的變量

rm(list=ls())

設(shè)置工作目錄

setwd("C:/Users/Dell/Desktop/R_Plots/22gantt/")

使用plotrix包繪制甘特圖

# 安裝并加載所需的R包
#install.packages("plotrix")
library(plotrix)

# 構(gòu)建測(cè)試數(shù)據(jù)集
Ymd.format<-"%Y/%m/%d"
gantt.info <-list(labels= c("First task","Second task","Third task","Fourth task","Fifth task"),
                  starts= as.POSIXct(strptime(c("2004/01/01","2004/02/02","2004/03/03","2004/05/05","2004/09/09"),format=Ymd.format)),
                  ends= as.POSIXct(strptime(c("2004/03/03","2004/05/05","2004/05/05","2004/08/08","2004/12/12"),format=Ymd.format)),
                  priorities=c(1,2,3,4,5)
                  )
gantt.info
## $labels
## [1] "First task"  "Second task" "Third task"  "Fourth task" "Fifth task" 
##
## $starts
## [1] "2004-01-01 CST" "2004-02-02 CST" "2004-03-03 CST" "2004-05-05 CST"
## [5] "2004-09-09 CST"
##
## $ends
## [1] "2004-03-03 CST" "2004-05-05 CST" "2004-05-05 CST" "2004-08-08 CST"
## [5] "2004-12-12 CST"
##
## $priorities
## [1] 1 2 3 4 5

vgridpos <- as.POSIXct(strptime(c("2004/01/01","2004/02/01","2004/03/01","2004/04/01",
                                  "2004/05/01","2004/06/01","2004/07/01","2004/08/01",
                                  "2004/09/01","2004/10/01","2004/11/01","2004/12/01"),
                                format=Ymd.format))
vgridpos
## [1] "2004-01-01 CST" "2004-02-01 CST" "2004-03-01 CST" "2004-04-01 CST"
## [5] "2004-05-01 CST" "2004-06-01 CST" "2004-07-01 CST" "2004-08-01 CST"
## [9] "2004-09-01 CST" "2004-10-01 CST" "2004-11-01 CST" "2004-12-01 CST"

vgridlab <- c("Jan","Feb","Mar","Apr","May","Jun",
              "Jul","Aug","Sep","Oct","Nov","Dec")
vgridlab
##  [1] "Jan" "Feb" "Mar" "Apr" "May" "Jun" "Jul" "Aug" "Sep" "Oct" "Nov" "Dec"

# 使用gantt.charth函數(shù)繪制甘特圖
gantt.chart(gantt.info, # a list of task labels, start/end times and task priorities
            main="Calendar date Gantt chart (2004)", # 設(shè)置標(biāo)題
            priority.legend=TRUE, # 設(shè)置是否展示color圖例
            vgridpos=vgridpos, # 設(shè)置垂直網(wǎng)格線的位置
            vgridlab=vgridlab, # 設(shè)置垂直網(wǎng)格線的標(biāo)簽
            hgrid=TRUE # 設(shè)置是否顯示水平網(wǎng)格線
            )
image.png
# add a little extra space on the right side
gantt.chart(gantt.info,
            main="Calendar date Gantt chart (2004)",
            priority.legend=TRUE,
            vgridpos=vgridpos,
            vgridlab=vgridlab,
            hgrid=TRUE,
            taskcolors = rainbow(5),
            priority.label = "Task priorities",
            xlim=as.POSIXct(strptime(c("2004/01/01","2004/12/20"),
                                     format=Ymd.format)))
image.png
# if both vgidpos and vgridlab are specified,
# starts and ends don't have to be dates
info2 <- list(labels=c("Jim","Joe","Jim","John","John","Jake","Joe","Jed","Jake"),
              starts=c(8.1,8.7,13.0,9.1,11.6,9.0,13.6,9.3,14.2),
              ends=c(12.5,12.7,16.5,10.3,15.6,11.7,18.1,18.2,19.0))
info2
## $labels
## [1] "Jim"  "Joe"  "Jim"  "John" "John" "Jake" "Joe"  "Jed"  "Jake"
##
## $starts
## [1]  8.1  8.7 13.0  9.1 11.6  9.0 13.6  9.3 14.2
##
## $ends
## [1] 12.5 12.7 16.5 10.3 15.6 11.7 18.1 18.2 19.0

gantt.chart(info2,vgridlab=8:19,vgridpos=8:19,
            main="All bars the same color",
            taskcolors="lightgray",
            cylindrical = T)
image.png
gantt.chart(info2,vgridlab=8:19,vgridpos=8:19,
            main="A color for each label",
            taskcolors=c(2,3,7,4,8),
            priority.legend = T)
image.png
gantt.chart(info2,vgridlab=8:19,vgridpos=8:19,
            main="A color for each interval - with borders",
            taskcolors=c(2,3,7,4,8,5,3,6,"purple"),
            border.col="black")
image.png

使用vistime包繪制甘特圖

# 安裝并加載所需的R包
#install.packages("vistime")
library(vistime)

# 構(gòu)建測(cè)試數(shù)據(jù)集
pres <- data.frame(
  Position = rep(c("President", "Vice"), each = 3),
  Name = c("Washington", rep(c("Adams", "Jefferson"), 2), "Burr"),
  start = c("1789-03-29", "1797-02-03", "1801-02-03"),
  end = c("1797-02-03", "1801-02-03", "1809-02-03"),
  color = c("#cbb69d", "#603913", "#c69c6e")
)
pres
##    Position       Name      start        end   color
## 1 President Washington 1789-03-29 1797-02-03 #cbb69d
## 2 President      Adams 1797-02-03 1801-02-03 #603913
## 3 President  Jefferson 1801-02-03 1809-02-03 #c69c6e
## 4      Vice      Adams 1789-03-29 1797-02-03 #cbb69d
## 5      Vice  Jefferson 1797-02-03 1801-02-03 #603913
## 6      Vice       Burr 1801-02-03 1809-02-03 #c69c6e

# 使用gg_vistime函數(shù)繪制甘特圖
gg_vistime(pres, 
           col.event = "Position", 
           col.group = "Name", 
           col.start = "start",
           col.end = "end",
           col.color = "color",
           title = "Presidents of the USA")
image.png
sessionInfo()
R version 3.6.0 (2019-04-26)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)

Matrix products: default

locale:
[1] LC_COLLATE=Chinese (Simplified)_China.936 
[2] LC_CTYPE=Chinese (Simplified)_China.936   
[3] LC_MONETARY=Chinese (Simplified)_China.936
[4] LC_NUMERIC=C                              
[5] LC_TIME=Chinese (Simplified)_China.936    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] dplyr_0.8.3   plotrix_3.7-6

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.5       pillar_1.4.2     compiler_3.6.0   tools_3.6.0     
 [5] digest_0.6.20    evaluate_0.14    tibble_2.1.3     nlme_3.1-139    
 [9] gtable_0.3.0     lattice_0.20-38  pkgconfig_2.0.2  rlang_0.4.7     
[13] rstudioapi_0.10  yaml_2.2.0       xfun_0.8         knitr_1.23      
[17] generics_0.0.2   grid_3.6.0       tidyselect_0.2.5 glue_1.3.1      
[21] R6_2.4.0         rmarkdown_1.13   ggplot2_3.2.0    purrr_0.3.2     
[25] tidyr_0.8.3      magrittr_1.5     htmltools_0.3.6  scales_1.0.0    
[29] backports_1.1.4  assertthat_0.2.1 colorspace_1.4-1 lazyeval_0.2.2  
[33] munsell_0.5.0    broom_0.5.2      crayon_1.3.4    
最后編輯于
?著作權(quán)歸作者所有,轉(zhuǎn)載或內(nèi)容合作請(qǐng)聯(lián)系作者
  • 序言:七十年代末捎拯,一起剝皮案震驚了整個(gè)濱河市寓调,隨后出現(xiàn)的幾起案子,更是在濱河造成了極大的恐慌抖部,老刑警劉巖轧简,帶你破解...
    沈念sama閱讀 221,198評(píng)論 6 514
  • 序言:濱河連續(xù)發(fā)生了三起死亡事件括授,死亡現(xiàn)場(chǎng)離奇詭異脆炎,居然都是意外死亡山卦,警方通過(guò)查閱死者的電腦和手機(jī)鞋邑,發(fā)現(xiàn)死者居然都...
    沈念sama閱讀 94,334評(píng)論 3 398
  • 文/潘曉璐 我一進(jìn)店門(mén),熙熙樓的掌柜王于貴愁眉苦臉地迎上來(lái),“玉大人枚碗,你說(shuō)我怎么就攤上這事藻懒。” “怎么了视译?”我有些...
    開(kāi)封第一講書(shū)人閱讀 167,643評(píng)論 0 360
  • 文/不壞的土叔 我叫張陵嬉荆,是天一觀的道長(zhǎng)。 經(jīng)常有香客問(wèn)我酷含,道長(zhǎng)鄙早,這世上最難降的妖魔是什么? 我笑而不...
    開(kāi)封第一講書(shū)人閱讀 59,495評(píng)論 1 296
  • 正文 為了忘掉前任椅亚,我火速辦了婚禮限番,結(jié)果婚禮上,老公的妹妹穿的比我還像新娘呀舔。我一直安慰自己弥虐,他們只是感情好,可當(dāng)我...
    茶點(diǎn)故事閱讀 68,502評(píng)論 6 397
  • 文/花漫 我一把揭開(kāi)白布媚赖。 她就那樣靜靜地躺著霜瘪,像睡著了一般。 火紅的嫁衣襯著肌膚如雪惧磺。 梳的紋絲不亂的頭發(fā)上颖对,一...
    開(kāi)封第一講書(shū)人閱讀 52,156評(píng)論 1 308
  • 那天,我揣著相機(jī)與錄音磨隘,去河邊找鬼缤底。 笑死,一個(gè)胖子當(dāng)著我的面吹牛番捂,可吹牛的內(nèi)容都是我干的个唧。 我是一名探鬼主播,決...
    沈念sama閱讀 40,743評(píng)論 3 421
  • 文/蒼蘭香墨 我猛地睜開(kāi)眼设预,長(zhǎng)吁一口氣:“原來(lái)是場(chǎng)噩夢(mèng)啊……” “哼徙歼!你這毒婦竟也來(lái)了?” 一聲冷哼從身側(cè)響起絮缅,我...
    開(kāi)封第一講書(shū)人閱讀 39,659評(píng)論 0 276
  • 序言:老撾萬(wàn)榮一對(duì)情侶失蹤鲁沥,失蹤者是張志新(化名)和其女友劉穎,沒(méi)想到半個(gè)月后耕魄,有當(dāng)?shù)厝嗽跇?shù)林里發(fā)現(xiàn)了一具尸體画恰,經(jīng)...
    沈念sama閱讀 46,200評(píng)論 1 319
  • 正文 獨(dú)居荒郊野嶺守林人離奇死亡,尸身上長(zhǎng)有42處帶血的膿包…… 初始之章·張勛 以下內(nèi)容為張勛視角 年9月15日...
    茶點(diǎn)故事閱讀 38,282評(píng)論 3 340
  • 正文 我和宋清朗相戀三年吸奴,在試婚紗的時(shí)候發(fā)現(xiàn)自己被綠了允扇。 大學(xué)時(shí)的朋友給我發(fā)了我未婚夫和他白月光在一起吃飯的照片缠局。...
    茶點(diǎn)故事閱讀 40,424評(píng)論 1 352
  • 序言:一個(gè)原本活蹦亂跳的男人離奇死亡,死狀恐怖考润,靈堂內(nèi)的尸體忽然破棺而出狭园,到底是詐尸還是另有隱情,我是刑警寧澤糊治,帶...
    沈念sama閱讀 36,107評(píng)論 5 349
  • 正文 年R本政府宣布唱矛,位于F島的核電站,受9級(jí)特大地震影響井辜,放射性物質(zhì)發(fā)生泄漏绎谦。R本人自食惡果不足惜,卻給世界環(huán)境...
    茶點(diǎn)故事閱讀 41,789評(píng)論 3 333
  • 文/蒙蒙 一粥脚、第九天 我趴在偏房一處隱蔽的房頂上張望窃肠。 院中可真熱鬧,春花似錦刷允、人聲如沸冤留。這莊子的主人今日做“春日...
    開(kāi)封第一講書(shū)人閱讀 32,264評(píng)論 0 23
  • 文/蒼蘭香墨 我抬頭看了看天上的太陽(yáng)纤怒。三九已至,卻和暖如春破托,著一層夾襖步出監(jiān)牢的瞬間肪跋,已是汗流浹背。 一陣腳步聲響...
    開(kāi)封第一講書(shū)人閱讀 33,390評(píng)論 1 271
  • 我被黑心中介騙來(lái)泰國(guó)打工土砂, 沒(méi)想到剛下飛機(jī)就差點(diǎn)兒被人妖公主榨干…… 1. 我叫王不留,地道東北人谜洽。 一個(gè)月前我還...
    沈念sama閱讀 48,798評(píng)論 3 376
  • 正文 我出身青樓萝映,卻偏偏與公主長(zhǎng)得像,于是被迫代替她去往敵國(guó)和親阐虚。 傳聞我的和親對(duì)象是個(gè)殘疾皇子序臂,可洞房花燭夜當(dāng)晚...
    茶點(diǎn)故事閱讀 45,435評(píng)論 2 359