R : How to display value by pointing on line graph in Shiny web app?
Question
I'm practicing using Shiny to create a web app. My question is How to make the line graph shows value by cursor pointing?
Multiple files shiny app :
data.R
df <- read.table(text="
DateTime,Val1,Val2
1 ,2017-07-01 09:32:00 ,401.7542 ,275.5876
2 ,2017-07-01 09:30:00 ,402.7049 ,359.2615
3 ,2017-07-01 09:29:00 ,402.5912 ,276.4372
4 ,2017-07-01 09:28:00 ,402.7526 ,362.6202
5 ,2017-07-01 09:27:00 ,402.4538 ,361.3867
6 ,2017-07-01 09:26:00 ,401.8847 ,359.6318
7 ,2017-07-01 09:25:00 ,402.2666 ,274.8941
8 ,2017-07-01 09:24:00 ,403.0774 ,277.4844
9 ,2017-07-01 09:23:00 ,403.0516 ,363.3593
10 ,2017-07-01 09:22:00 ,402.5764 ,275.4202
11 ,2017-07-01 09:21:00 ,402.2379 ,275.0550
12 ,2017-07-01 09:20:00 ,401.9060 ,277.2950
13 ,2017-07-01 09:19:00 ,401.9451 ,361.0770
14 ,2017-07-01 09:18:00 ,401.4484 ,361.3591
15 ,2017-07-01 09:17:00 ,402.5519 ,274.8206
16 ,2017-07-01 09:16:00 ,402.1426 ,279.2438
17 ,2017-07-01 09:15:00 ,402.4618 ,360.7491
18 ,2017-07-01 09:14:00 ,403.3124 ,276.4756
19 ,2017-07-01 09:13:00 ,402.3604 ,276.7015
20 ,2017-07-01 09:12:00 ,402.5518 ,363.2422
21 ,2017-07-01 09:11:00 ,404.7830 ,360.2075
22 ,2017-07-01 09:10:00 ,403.7317 ,275.8560
23 ,2017-07-01 09:09:00 ,403.2151 ,276.8633
24 ,2017-07-01 09:08:00 ,404.2897 ,361.6937
25 ,2017-07-01 09:07:00 ,403.8227 ,355.2353
26 ,2017-07-01 09:06:00 ,402.8998 ,276.0700
27 ,2017-07-01 09:05:00 ,403.1328 ,362.2495
28 ,2017-07-01 09:04:00 ,404.1612 ,361.9048
29 ,2017-07-01 09:03:00 ,403.7537 ,274.9531
30 ,2017-07-01 09:02:00 ,402.1621 ,360.7682
31 ,2017-07-01 09:01:00 ,403.0805 ,360.8172
32 ,2017-07-01 09:00:00 ,403.3630 ,276.2874
33 ,2017-07-01 08:59:00 ,402.8351 ,275.9734
34 ,2017-07-01 08:58:00 ,403.6484 ,360.5585
35 ,2017-07-01 08:57:00 ,403.4342 ,357.7776
36 ,2017-07-01 08:56:00 ,402.4444 ,275.8763
37 ,2017-07-01 08:55:00 ,403.2913 ,361.2458
38 ,2017-07-01 08:54:00 ,403.2985 ,276.7728
39 ,2017-07-01 08:53:00 ,403.2600 ,276.6644
40 ,2017-07-01 08:52:00 ,401.9991 ,361.2737
41 ,2017-07-01 08:51:00 ,404.9158 ,358.2727
42 ,2017-07-01 08:50:00 ,403.8922 ,357.0592
43 ,2017-07-01 08:49:00 ,403.0070 ,359.5312
44 ,2017-07-01 08:48:00 ,404.8530 ,360.1790
45 ,2017-07-01 08:47:00 ,404.1543 ,359.4836
46 ,2017-07-01 08:46:00 ,403.9200 ,357.9064
47 ,2017-07-01 08:45:00 ,403.9197 ,358.6364
48 ,2017-07-01 08:44:00 ,406.0925 ,358.6248
49 ,2017-07-01 08:43:00 ,401.5529 ,359.9990
50 ,2017-07-01 08:42:00 ,402.4422 ,356.6060",sep=",",header=TRUE,stringsAsFactors=FALSE)
df$DateTime <- as.POSIXct(df$DateTime)
ui.R
source('~/R/work/reactonplot/data.R')
library(shiny)
shinyUI(fluidPage(
titlePanel("Practice Reaction on Plot"),
plotOutput("myPlot")
))
server.R
library(shiny)
library(ggplot2)
shinyServer(function(input, output) {
output$myPlot <- renderPlot({
ggplot(df, aes(DateTime)) + ylab("Val") +
geom_line(aes(y = Val1, colour = "Val1"),lwd=0.7) +
geom_line(aes(y = Val2, colour = "Val2"),lwd=0.8) +
expand_limits( y = 0) +
scale_x_datetime(expand = c(0,0)) +
theme(text = element_text(size=10),
legend.text = element_text(size=10),
panel.background = element_rect(fill = "white", colour = "black"))
})
})
Here is what my expected output :
So, how to get this reaction on my plot? Any ideas please help. Thank you so much sir.
EDITED : I found the answer by using ggplotly
in server.ui change renderPlot to renderPlotly and add hiding option bar
output$myPlot <- renderPlotly({
p <- ggplot(df, aes(DateTime)) + ylab("Val") +
geom_line(aes(y = Val1, colour = "Val1"),lwd=0.7) +
geom_line(aes(y = Val2, colour = "Val2"),lwd=0.8) +
expand_limits( y = 0) +
scale_x_datetime(expand = c(0,0)) +
theme(text = element_text(size=10),
legend.text = element_text(size=10),
panel.background = element_rect(fill = "white", colour = "black"))
ggplotly(p) %>% config(displayModeBar = FALSE)
})
in ui.R change plotOutput to plotlyOutput
1 answers
solution1
0 2017-07-01 10:31:47
Maybe you can load the data in you server.r not in your ui.r. I just read the data in server.r and can show the result you want. I run it in a single file:
df <- read.table(text="DateTime,Val1,Val2
1 ,2017-07-01 09:32:00 ,401.7542 ,275.5876
2 ,2017-07-01 09:30:00 ,402.7049 ,359.2615
3 ,2017-07-01 09:29:00 ,402.5912 ,276.4372
4 ,2017-07-01 09:28:00 ,402.7526 ,362.6202
5 ,2017-07-01 09:27:00 ,402.4538 ,361.3867
6 ,2017-07-01 09:26:00 ,401.8847 ,359.6318
7 ,2017-07-01 09:25:00 ,402.2666 ,274.8941
8 ,2017-07-01 09:24:00 ,403.0774 ,277.4844
9 ,2017-07-01 09:23:00 ,403.0516 ,363.3593
10 ,2017-07-01 09:22:00 ,402.5764 ,275.4202
11 ,2017-07-01 09:21:00 ,402.2379 ,275.0550
12 ,2017-07-01 09:20:00 ,401.9060 ,277.2950
13 ,2017-07-01 09:19:00 ,401.9451 ,361.0770
14 ,2017-07-01 09:18:00 ,401.4484 ,361.3591
15 ,2017-07-01 09:17:00 ,402.5519 ,274.8206
16 ,2017-07-01 09:16:00 ,402.1426 ,279.2438
17 ,2017-07-01 09:15:00 ,402.4618 ,360.7491
18 ,2017-07-01 09:14:00 ,403.3124 ,276.4756
19 ,2017-07-01 09:13:00 ,402.3604 ,276.7015
20 ,2017-07-01 09:12:00 ,402.5518 ,363.2422
21 ,2017-07-01 09:11:00 ,404.7830 ,360.2075
22 ,2017-07-01 09:10:00 ,403.7317 ,275.8560
23 ,2017-07-01 09:09:00 ,403.2151 ,276.8633
24 ,2017-07-01 09:08:00 ,404.2897 ,361.6937
25 ,2017-07-01 09:07:00 ,403.8227 ,355.2353
26 ,2017-07-01 09:06:00 ,402.8998 ,276.0700
27 ,2017-07-01 09:05:00 ,403.1328 ,362.2495
28 ,2017-07-01 09:04:00 ,404.1612 ,361.9048
29 ,2017-07-01 09:03:00 ,403.7537 ,274.9531
30 ,2017-07-01 09:02:00 ,402.1621 ,360.7682
31 ,2017-07-01 09:01:00 ,403.0805 ,360.8172
32 ,2017-07-01 09:00:00 ,403.3630 ,276.2874
33 ,2017-07-01 08:59:00 ,402.8351 ,275.9734
34 ,2017-07-01 08:58:00 ,403.6484 ,360.5585
35 ,2017-07-01 08:57:00 ,403.4342 ,357.7776
36 ,2017-07-01 08:56:00 ,402.4444 ,275.8763
37 ,2017-07-01 08:55:00 ,403.2913 ,361.2458
38 ,2017-07-01 08:54:00 ,403.2985 ,276.7728
39 ,2017-07-01 08:53:00 ,403.2600 ,276.6644
40 ,2017-07-01 08:52:00 ,401.9991 ,361.2737
41 ,2017-07-01 08:51:00 ,404.9158 ,358.2727
42 ,2017-07-01 08:50:00 ,403.8922 ,357.0592
43 ,2017-07-01 08:49:00 ,403.0070 ,359.5312
44 ,2017-07-01 08:48:00 ,404.8530 ,360.1790
45 ,2017-07-01 08:47:00 ,404.1543 ,359.4836
46 ,2017-07-01 08:46:00 ,403.9200 ,357.9064
47 ,2017-07-01 08:45:00 ,403.9197 ,358.6364
48 ,2017-07-01 08:44:00 ,406.0925 ,358.6248
49 ,2017-07-01 08:43:00 ,401.5529 ,359.9990
50 ,2017-07-01 08:42:00 ,402.4422 ,356.6060",sep=",",header=TRUE,stringsAsFactors=FALSE)
df$DateTime <- as.POSIXct(df$DateTime)
library(shiny)
ui <- shinyUI(fluidPage(
titlePanel("Practice Reaction on Plot"),
plotOutput("myPlot")
))
server <- shinyServer(function(input, output) {
output$myPlot <- renderPlot({
ggplot(df, aes(DateTime)) + ylab("Val") +
geom_line(aes(y = Val1, colour = "Val1"),lwd=0.7) +
geom_line(aes(y = Val2, colour = "Val2"),lwd=0.8) +
expand_limits( y = 0) +
scale_x_datetime(expand = c(0,0)) +
theme(text = element_text(size=10),
legend.text = element_text(size=10),
panel.background = element_rect(fill = "white", colour = "black"))
})
})
shinyApp(ui,server)
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