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| { | |
| "next": null, | |
| "previous": null, | |
| "results": [ | |
| { | |
| "id": 1234, | |
| "uuid": "esn4dk", | |
| "flow": { | |
| "uuid": "whsj5ei", | |
| "name": "weeklyratings" |
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| --- | |
| title: "Classify" | |
| output: | |
| flexdashboard::flex_dashboard: | |
| orientation: columns | |
| #logo: # add the relative path/file.png | |
| #favicon: # add the relative path/file.png | |
| theme: bootstrap | |
| #css: custom.css # add the relative path/file.css | |
| vertical_layout: fill |
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| library(tidyverse) | |
| library(ggrepel) | |
| dat <- structure(list(quarter = 1:48, | |
| year = c(2001L, 2001L, 2001L, 2001L, 2002L, 2002L, 2002L, | |
| 2002L, 2003L, 2003L, 2003L, 2003L, 2004L, 2004L, | |
| 2004L, 2004L, 2005L, 2005L, 2005L, 2005L, 2006L, | |
| 2006L, 2006L, 2006L, 2007L, 2007L, 2007L, 2007L, | |
| 2008L, 2008L, 2008L, 2008L, 2009L, 2009L, 2009L, | |
| 2009L, 2010L, 2010L, 2010L, 2010L, 2011L, 2011L, |
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| # Plot code for https://medium.com/@ericpgreen/my-wife-couldnt-sleep-550e206cd80a | |
| # Eric Green, @ericpgreen | |
| library(tidyverse) | |
| library(ggrepel) | |
| library(lubridate) | |
| # Puljic et al. (2015). The risk of infant and fetal death by each additional week of expectant management in intrahepatic cholestasis of pregnancy by gestational age. American Journal of Obstetrics and Gynecology, 212(5), 667-e1. | |
| # create dataframe from published table | |
| puljic <- data.frame(ga=c(rep(seq(from=34, to=40, by=1), 2)), |
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| # convert back to wide for alluvial | |
| datW <- | |
| datL %>% | |
| # long to wide | |
| select(ID, w1group, time, depress, dep16) %>% | |
| gather(key = variable, value = value, -ID, -w1group, -time) %>% | |
| unite(variableT, variable, time, sep=".") %>% | |
| spread(variableT, value) %>% | |
| # alluvial prep | |
| filter(complete.cases(.)) %>% |
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| # plot individual lines | |
| ggplot() + | |
| # plot N-2 as a base layer | |
| geom_line(data = datL[datL$highlight>2,], | |
| aes(time, depress, color=factor(highlight), group=ID), size=0.5) + | |
| # highlight two individuals and plot them second to appear on top | |
| geom_line(data = datL[datL$highlight<3,], | |
| aes(time, depress, color=factor(highlight), group=ID), size=1) + | |
| scale_color_manual(values=c("#ff0000", "#0000ff", "#D3D3D3")) + | |
| scale_size_manual(values=c(1, 1, 0.5)) + |
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| # load packages | |
| library(tidyverse) | |
| library(RCurl) | |
| library(magrittr) | |
| # get the data | |
| csv <- getURL("https://raw.githubusercontent.com/ericpgreen/JCPP2018/master/data%20and%20replication%20files/input/dat.csv") | |
| dat <- read.csv(text = csv) | |
| # data wrangling |
We can make this file beautiful and searchable if this error is corrected: It looks like row 2 should actually have 84 columns, instead of 46 in line 1.
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| "","class","v1","v2","v3","v4","v5","v6","v7","v8","v9","v10","v11","v12","v13","v14","v15","v16","v17","v18","v19","v20","v21","v22","v23","v24","v25","v26","v27","v28","v29","v30","v31","v32","v33","v34","v35","v36","v37","v38","v39","v40","v41","v42","v43","v44","v45","v46","v47","v48","v49","v50","v51","v52","v53","v54","v55","v56","v57","v58","v59","v60","v61","v62","v63","v64","v65","v66","v67","v68","v69","v70","v71","v72","v73","v74","v75","v76","v77","v78","v79","v80","v81","v82" | |
| "1","1",0.666666666666667,0.888888888888889,0.888888888888889,1,1,0.888888888888889,1,1,0.777777777777778,1,1,1,0.888888888888889,1,0.777777777777778,0.777777777777778,0.888888888888889,0,1,1,0.888888888888889,1,0.777777777777778,0.888888888888889,1,0.888888888888889,0.888888888888889,0.777777777777778,0.888888888888889,0.777777777777778,0.777777777777778,1,1,0.777777777777778,1,0.888888888888889,0.777777777777778,0.666666666666667,0.888888888888889,0.666666666666667,0.555555555555556,0.888888888888889,0.777777777777778,0.77 |
We can make this file beautiful and searchable if this error is corrected: It looks like row 2 should actually have 76 columns, instead of 38 in line 1.
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| "","class","v1","v2","v3","v4","v5","v6","v7","v8","v9","v10","v11","v12","v13","v14","v15","v16","v17","v18","v19","v20","v21","v22","v23","v24","v25","v26","v27","v28","v29","v30","v31","v32","v33","v34","v35","v36","v37","v38","v39","v40","v41","v42","v43","v44","v45","v46","v47","v48","v49","v50","v51","v52","v53","v54","v55","v56","v57","v58","v59","v60","v61","v62","v63","v64","v65","v66","v67","v68","v69","v70","v71","v72","v73","v74" | |
| "1",1,0.777777777777778,0.777777777777778,0.666666666666667,0.888888888888889,1,0.888888888888889,1,0.888888888888889,0.666666666666667,0.777777777777778,0.555555555555556,0.777777777777778,0.777777777777778,1,0.888888888888889,0.888888888888889,0.777777777777778,0.333333333333333,0.555555555555556,0.777777777777778,0.444444444444444,0.777777777777778,0.888888888888889,0.888888888888889,0.777777777777778,0.888888888888889,0.777777777777778,0.666666666666667,0.777777777777778,1,0.888888888888889,0.777777777777778,0.777777777777778,0.777777777777778,0.444444444444444,0.7777 |
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| df <- structure(list(class = c(1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, | |
| 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, | |
| 0, 1, 1, 1), v1 = c(0.777777777777778, 0.888888888888889, 0.888888888888889, | |
| 0.777777777777778, 0.111111111111111, 0.444444444444444, 0.444444444444444, | |
| 0.888888888888889, 0.222222222222222, 0.777777777777778, 0.444444444444444, | |
| 0.444444444444444, 0.555555555555556, 0.444444444444444, 0.333333333333333, | |
| 1, 0.444444444444444, 0.777777777777778, 0.888888888888889, 0.777777777777778, | |
| 0.888888888888889, 0.777777777777778, 0, 0.888888888888889, 0.888888888888889, | |
| 0.777777777777778, 0.888888888888889, 0.888888888888889, 0.777777777777778, | |
| 0.888888888888889, 0.777777777777778, 0.777777777777778, 0.888888888888889, |