闪亮的交互式ggplot缺少错误栏
我的闪亮应用程序中有一个交互式情节。在此图中，我可以将数据点标记为伪影。数据的一部分绘制为折线图，部分绘制为误差线。
我使用以下ggplot代码：
ggplot(plotdat,
aes(x = time, y = value, color = type)) +
labs(title = "vitals from test") +
geom_errorbar(data = nibpdat,
aes(x = time,
ymin = dianibp,
ymax = sysnibp),
position = position_dodge(.1)) +
scale_color_manual(values = vitalpalette) +
geom_point() +
geom_line(data = plotdat %>% filter(!grepl("NIBP$", type))) +
geom_point(data = plotdat %>% filter(artefact),mapping = aes(x = time, y = value, color = type),
shape = 4, size = 2, stroke = 2) +
theme_bw()
当我在闪亮的应用程序之外测试此图时，它可以工作。所有错误栏保持可见。但是在闪亮的应用程序内部，如果标记了nibpdat中的一个点（列artefact，则不会绘制误差线。
这是法线图（模拟标记点）
这是在标记了误差线的几个点的情况下使用相同的代码以闪亮的方式绘制的图。
ui.R
# load function
library(shiny)
require(dplyr)
require(ggplot2)
require(purrr)
require(tidyr)
cases <- c(1)
vitaltypes <- tribble(
~field, ~label, ~color,
"sysnibp", "systolic NIBP", "0000FF",
"meannibp", "mean NIBP", "0000FF",
"dianibp", "diastolic NIBP", "0000FF",
"sysabp", "systolic IBP", "730C5A",
"meanabp", "mean IBP", "E5BFDE",
"diaabp", "diastolic IBP", "730C5A",
"heartrate", "heartrate", "FF0000",
"saturation", "saturation", "42BEFF"
)
vitalpalette <- paste0("#",vitaltypes$color)
names(vitalpalette) <- vitaltypes$label
shinyUI(fluidPage(
titlePanel("Annotate your data now"),
sidebarLayout(
sidebarPanel(
selectInput(inputId = "case",
label = "Select case:",
choices = cases)
),
mainPanel(
plotOutput("VitalsPlot", click = "VitalsPlot_click"),
h2("Marked Artefacts"),
tableOutput("artefacts")
)
)
))
server.R：
shinyServer(function(input, output) {
vitals <- reactive({
structure(list(time = c(3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,
14, 15, 16, 17, 18, 19, 20, 21, 22, 3, 4, 5, 6, 7, 8, 9, 10,
11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 4, 7, 10, 12,
14, 16, 18, 21, 22, 23, 25, 26, 27, 29, 30, 31, 32, 34, 35, 36,
4, 7, 10, 12, 14, 16, 18, 21, 22, 23, 25, 26, 27, 29, 30, 31,
32, 34, 35, 36, 4, 7, 10, 12, 14, 16, 18, 21, 22, 23, 25, 26,
27, 29, 30, 31, 32, 34, 35, 36),
type = c("heartrate", "heartrate",
"heartrate", "heartrate", "heartrate", "heartrate", "heartrate",
"heartrate", "heartrate", "heartrate", "heartrate", "heartrate",
"heartrate", "heartrate", "heartrate", "heartrate", "heartrate",
"heartrate", "heartrate", "heartrate", "saturation", "saturation",
"saturation", "saturation", "saturation", "saturation", "saturation",
"saturation", "saturation", "saturation", "saturation", "saturation",
"saturation", "saturation", "saturation", "saturation", "saturation",
"saturation", "saturation", "saturation", "sysnibp", "sysnibp",
"sysnibp", "sysnibp", "sysnibp", "sysnibp", "sysnibp", "sysnibp",
"sysnibp", "sysnibp", "sysnibp", "sysnibp", "sysnibp", "sysnibp",
"sysnibp", "sysnibp", "sysnibp", "sysnibp", "sysnibp", "sysnibp",
"meannibp", "meannibp", "meannibp", "meannibp", "meannibp", "meannibp",
"meannibp", "meannibp", "meannibp", "meannibp", "meannibp", "meannibp",
"meannibp", "meannibp", "meannibp", "meannibp", "meannibp", "meannibp",
"meannibp", "meannibp", "dianibp", "dianibp", "dianibp", "dianibp",
"dianibp", "dianibp", "dianibp", "dianibp", "dianibp", "dianibp",
"dianibp", "dianibp", "dianibp", "dianibp", "dianibp", "dianibp",
"dianibp", "dianibp", "dianibp", "dianibp"),
value = c(97, 101,
92, 95, 85, 93, 87, 87, 87, 92, 93, 90, 88, 83, 82, 72, 68, 62,
66, 83, 98.3, 98, 98.3, 98, 98.9, 98.5, 99.8, 99.2, 99, 99.4,
98.8, 98.7, 99, 94.7, 98, 98.5, 95.9, 98.1, 99.1, 98.2, 142,
132, 126, 128, 136, 107, 107, 108, 121, 87, 102, 107, 100, 112,
115, 114, 110, 102, 103, 105, 93, 86, 86, 86, 70, 70, 82, 76,
76, 51, 57, 62, 66, 63, 70, 75, 65, 64, 71, 65, 71, 64, 72, 74,
57, 55, 74, 61, 59, 32, 31, 55, 50, 47, 48, 58, 48, 48, 61, 50
), case = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1)),
class = c("tbl_df",
"tbl", "data.frame"), .Names = c("time", "type", "value", "case"
), row.names = c(NA, -100L))
})
observe({
n <- nrow(vitals())
artefacts$numberofvitals <- n
artefacts$status <- rep(FALSE,n)
})
artefacts <- reactiveValues(
numberofvitals = 1,
status = rep(FALSE, 1)
)
observeEvent(input$VitalsPlot_click, {
res <- nearPoints(vitals(), input$VitalsPlot_click, allRows = TRUE)[1:artefacts$numberofvitals,]
artefacts$status <- xor(artefacts$status, res$selected_)
})
output$VitalsPlot <- renderPlot({
plotvitals <- vitals()
plotvitals$artefact <- artefacts$status
plotdat <- plotvitals %>% mutate(type = factor(match(type, vitaltypes$field),
levels = seq_len(nrow(vitaltypes)),
labels = vitaltypes$label))
nibpdat <- plotvitals %>% filter(grepl("nibp$",type)) %>%
spread(type, value) %>%
mutate(type = factor(match("meannibp", vitaltypes$field),
levels = seq_len(nrow(vitaltypes)),
labels = vitaltypes$label),
value = meannibp,
artefact = FALSE)
plotid <- "test"
ggplot(plotdat,
aes(x = time, y = value, color = type)) +
labs(title = paste0("vitals from ",plotid)) +
geom_errorbar(data = nibpdat,
aes(x = time,
ymin = dianibp,
ymax = sysnibp),
position = position_dodge(.1)) +
scale_color_manual(values = vitalpalette) +
geom_point() +
geom_line(data = plotdat %>% filter(!grepl("NIBP$", type))) +
geom_point(data = plotdat %>% filter(artefact),mapping = aes(x = time, y = value, color = type),
shape = 4, size = 2, stroke = 2) +
theme_bw()
})
output$artefacts <- renderTable({
vitals()[artefacts$status,] %>%
arrange(type, time) %>%
group_by(type) %>%
mutate(vital = if_else(row_number()==1,unlist(vitaltypes[match(type, vitaltypes$field),"label"]),""),
time = floor(time)) %>%
ungroup() %>%
select(vital, time, value)
})
})
sessionInfo()的输出
R version 3.4.1 (2017-06-30)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1
Matrix products: default
locale:
[1] LC_COLLATE=Dutch_Netherlands.1252 LC_CTYPE=Dutch_Netherlands.1252 LC_MONETARY=Dutch_Netherlands.1252
[4] LC_NUMERIC=C LC_TIME=Dutch_Netherlands.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] compiler_3.4.1 tools_3.4.1
1 个答案:
答案 0 :(得分：5)
此示例闪亮应用程序中出现以下问题：
单击某个点时，artefact中的值artefact$status从TRUE更改为FALSE。
在下面的代码中，数据被传播，但是由于现在属于字段的三个值之一artefact具有不同的值，因此生成了两个单独的行。因此，geom_errorbar()至少缺少一种美学（y，ymax或ymin）。
nibpdat <- plotvitals %>% filter(grepl("nibp$",type)) %>%
spread(type, value) %>%
mutate(type = factor(match("meannibp", vitaltypes$field),
levels = seq_len(nrow(vitaltypes)),
labels = vitaltypes$label),
value = meannibp,
artefact = FALSE)
应更改为：
nibpdat <- plotvitals %>% filter(grepl("nibp$",type)) %>%
select(-artefact) %>%
spread(type, plotvalue) %>%
mutate(type = factor(match("meannibp", vitaltypes$field),
levels = seq_len(nrow(vitaltypes)),
labels = vitaltypes$label),
plotvalue = meannibp,
artefact = FALSE)
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