質的研究におけるCoding Tree
library(data.tree) theme <- Node$new("テーマ") category1 <- theme$AddChild("あ") code1 <- category1$AddChild("い") code2 <- category1$AddChild("う") category2 <- theme$AddChild("AA") code3 <- category2$AddChild("BB") code4 <- category2$AddChild("CC") category3 <- theme$AddChild("aa") code5 <- category3$AddChild("bb") code6 <- category3$AddChild("cc") code7 <- category3$AddChild("dd") print(theme) plot(theme)
以下を参考にさせていただきました。
Introduction to data.tree
CONSORTやSTROBEのダイアグラムを作成する
以下を参考にさせていただきました。
Danny Wong · STROBE/CONSORT Diagrams in R
library(DiagrammeR) #DiagrammeR library(DiagrammeRsvg) #保存用 library(rsvg) #保存用 #Set the values which will go into each label. a1 <- 'Total available patients\n(n = N)' b1 <- '' c1 <- '' d1 <- 'Included for analysis\n(n = N - x - y)' e1 <- '' a2 <- '' b2 <- 'Excluded: \nexclusion criteria (n = x)' c2 <- 'Excluded: \nmissing values (n = y)' d2 <- '' e2 <- '' #Create a node dataframe ndf <- create_node_df( n = 10, label = c(a1, b1, c1, d1, e1, #Column 1 a2, b2, c2, d2, e2), #Column 2 style = c('solid', 'invis', 'invis', 'solid', 'invis', #Column 1 'invis', 'solid', 'solid', 'invis', 'invis'), #Column 2 shape = c('box', 'point', 'point', 'box', 'box', #Column 1 'plaintext', 'box', 'box', 'point', 'point'), #Column 2 width = c(3, 0.001, 0.001, 3, 3, #Column 1 2, 2.5, 2.5, 0.001, 0.001), #Column 2 height = c(1, 0.001, 0.001, 1, 1, #Column 1 1, 1, 1, 0.001, 0.001), #Column 2 fontsize = c(rep(14, 10)), fontname = c(rep('Helvetica', 10)), penwidth = 1.5, fixedsize = 'true') #Create an edge dataframe edf <- create_edge_df( from = c(1, 2, 3, 4, #Column 1 6, 7, 8, 9, #Column 2 2, 3 #Horizontals ), to = c(2, 3, 4, 5, #Column 1 7, 8, 9, 10, #Column 2 7, 8 #Horizontals ), arrowhead = c('none', 'none', 'normal', 'none', #Column 1 'none', 'none', 'none', 'none', #Column 2 'normal', 'normal' #Horizontals ), color = c('black', 'black', 'black', '#00000000', #Column 1 '#00000000', '#00000000', '#00000000', '#00000000', #Column 2 'black', 'black' #Horizontals ), constraint = c(rep('true', 8), #Columns rep('false', 2) #Horizontals ) ) g <- create_graph(ndf, edf, attr_theme = NULL) #export_graph(g, file_name = "Study Flow.png") #保存する render_graph(g)
http://www.ec.kansai-u.ac.jp/user/arakit/documents/diagram_vignette.pdf