R：有光泽/ Ggvis-daterangeInput：条形图更改，但工具提示不更改
[英]R: Shiny/Ggvis - daterangeInput: Bar graph changes but Tooltip does not
问题描述
我的图形发生变化，我知道这会导致Y轴更改其极限。 但是，无论我是否更改日期范围，每个小节的工具提示都是相同的。
如您所见，它对于“ Directo”源显示为：“会话总数：11,610”。 这是整个Dicember的月份。 但是，如果我将日期从“ 2014-12-01”更改为“ 2014-12-01”，则仅查看二月第一天的数据，条形就会发生变化，但工具提示始终显示：“总计会话数：“ Directo”为11,610”。
我认为工具提示部分的“ mysessions”功能存在问题，当daterangeInput更改时，无法识别数据的子集。 但无法弄清楚。
我的服务器。R：###您可以从结尾的“ dput（）”中看到我的数据。
library(dplyr)
library(ggvis)
library(shiny)
Visitas_Por_Fuente <- read.csv("D:\\RCoursera\\Star- App3\\Visitas_Por_Fuente_Dic.csv") ## Call it from a CSV file, but you can see the dput() data at the end of the post.
Visitas_Por_Fuente$date <- as.Date(Visitas_Por_Fuente$date)
shinyServer(
function(input, output, session){
myData <- reactive({
# Filter the data based on user selection month
date_seq <- seq(input$dates[1], input$dates[2], by = "day")
EvolucionVisitas <- filter(Visitas_Por_Fuente, date %in% date_seq)
return(EvolucionVisitas)
})
############# Evolución de las visitas ##############################################
#####################################################################################**
myvis <- reactive({
EvolucionVisitas <- myData()
mysessions <- function(x) {
if(is.null(x)) return(NULL)
# compute the total number of sessions of the "Fuente" type that is hovered over
total_sessions <- sum(EvolucionVisitas[EvolucionVisitas$Fuentes == x$Fuentes, "sessions"])
# format the value with prettyNum if you like:
paste0("Total number of Sessions:", " ",
prettyNum(total_sessions, big.mark=",",scientific=F))
}
outvis <-
EvolucionVisitas %>%
ggvis(~Fuentes, ~sessions) %>%
layer_bars(width = 0.8, fill = ~Fuentes) %>%
add_tooltip(mysessions ,"hover")
return(outvis)
})
myvis %>% bind_shiny("EvolucionVisitas")
}
)
我的ui.R：
library(shiny)
library(ggvis)
shinyUI(
# Use a fluid Bootstrap layout
fluidPage(
# Give the page a title
br(),
br(),
titlePanel("Visitas por fuente"),
# Generate a row with a sidebar
sidebarLayout(
# Define the sidebar with one input
sidebarPanel(
dateRangeInput("dates", label = h3("Date range"),
start = "2014-12-01", end = "2014-12-31")
),
mainPanel(
tabsetPanel(
tabPanel('Evolución de las visitas',
ggvisOutput("EvolucionVisitas"))
)
)
)
)
)
我的数据：＃需要使用as.data.frame进行转换。 dplyr的group_by函数正在发生某些事情。
as.data.frame(structure(list(date = structure(c(1417410000, 1417410000, 1417410000,
1417410000, 1417410000, 1417410000, 1417496400, 1417496400, 1417496400,
1417496400, 1417496400, 1417496400, 1417496400, 1417582800, 1417582800,
1417582800, 1417582800, 1417582800, 1417582800, 1417582800, 1417669200,
1417669200, 1417669200, 1417669200, 1417669200, 1417669200, 1417669200,
1417755600, 1417755600, 1417755600, 1417755600, 1417755600, 1417755600,
1417842000, 1417842000, 1417842000, 1417842000, 1417842000, 1417842000,
1417842000, 1417928400, 1417928400, 1417928400, 1417928400, 1417928400,
1417928400, 1417928400, 1418014800, 1418014800, 1418014800, 1418014800,
1418014800, 1418014800, 1418014800, 1418101200, 1418101200, 1418101200,
1418101200, 1418101200, 1418101200, 1418101200, 1418187600, 1418187600,
1418187600, 1418187600, 1418187600, 1418187600, 1418187600, 1418274000,
1418274000, 1418274000, 1418274000, 1418274000, 1418274000, 1418274000,
1418360400, 1418360400, 1418360400, 1418360400, 1418360400, 1418360400,
1418360400, 1418446800, 1418446800, 1418446800, 1418446800, 1418446800,
1418446800, 1418446800, 1418533200, 1418533200, 1418533200, 1418533200,
1418533200, 1418533200, 1418533200, 1418619600, 1418619600, 1418619600,
1418619600, 1418619600, 1418619600, 1418619600, 1418706000, 1418706000,
1418706000, 1418706000, 1418706000, 1418706000, 1418706000, 1418792400,
1418792400, 1418792400, 1418792400, 1418792400, 1418792400, 1418792400,
1418878800, 1418878800, 1418878800, 1418878800, 1418878800, 1418878800,
1418878800, 1418965200, 1418965200, 1418965200, 1418965200, 1418965200,
1418965200, 1418965200, 1419051600, 1419051600, 1419051600, 1419051600,
1419051600, 1419051600, 1419051600, 1419138000, 1419138000, 1419138000,
1419138000, 1419138000, 1419138000, 1419224400, 1419224400, 1419224400,
1419224400, 1419224400, 1419224400, 1419224400, 1419310800, 1419310800,
1419310800, 1419310800, 1419310800, 1419310800, 1419397200, 1419397200,
1419397200, 1419397200, 1419397200, 1419397200, 1419397200, 1419483600,
1419483600, 1419483600, 1419483600, 1419483600, 1419483600, 1419483600,
1419570000, 1419570000, 1419570000, 1419570000, 1419570000, 1419570000,
1419656400, 1419656400, 1419656400, 1419656400, 1419656400, 1419656400,
1419742800, 1419742800, 1419742800, 1419742800, 1419742800, 1419742800,
1419742800, 1419829200, 1419829200, 1419829200, 1419829200, 1419829200,
1419829200, 1419915600, 1419915600, 1419915600, 1419915600, 1419915600,
1419915600, 1419915600, 1420002000, 1420002000, 1420002000, 1420002000,
1420002000), class = c("POSIXct", "POSIXt"), tzone = "America/Lima"),
Fuentes = c("Adwords", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media", "Adwords",
"Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media",
"Adwords", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media", "Adwords",
"Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media",
"Adwords", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media", "Adwords",
"Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media",
"Adwords", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media", "Adwords",
"Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media",
"Adwords", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media", "Adwords",
"Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media",
"Adwords", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media", "Adwords",
"Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media",
"Adwords", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media", "Campañas",
"Directo", "Email", "Referencias", "SEO", "Social Media",
"Adwords", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media", "Campañas",
"Directo", "Email", "Referencias", "SEO", "Social Media",
"Campañas", "Directo", "Email", "Referencias", "SEO", "Social Media",
"Adwords", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Campañas", "Directo", "Email", "Referencias",
"SEO", "Social Media", "Adwords", "Campañas", "Directo",
"Email", "Referencias", "SEO", "Social Media", "Directo",
"Email", "Referencias", "SEO", "Social Media"), sessions = c(10L,
326L, 18L, 527L, 999L, 52L, 3L, 7L, 324L, 19L, 498L, 933L,
44L, 5L, 12L, 363L, 15L, 546L, 1206L, 202L, 7L, 12L, 1122L,
27L, 1249L, 5168L, 607L, 17L, 432L, 22L, 527L, 1553L, 637L,
5L, 5L, 356L, 16L, 507L, 1901L, 487L, 4L, 8L, 312L, 30L,
500L, 1622L, 370L, 3L, 11L, 341L, 18L, 504L, 1312L, 352L,
2L, 13L, 1188L, 33L, 682L, 2008L, 1508L, 3L, 15L, 1086L,
36L, 646L, 2124L, 380L, 3L, 11L, 355L, 17L, 383L, 1054L,
236L, 2L, 9L, 321L, 15L, 370L, 1118L, 245L, 7L, 9L, 259L,
13L, 332L, 1261L, 230L, 3L, 7L, 539L, 9L, 626L, 2336L, 256L,
1L, 12L, 292L, 8L, 386L, 1070L, 220L, 1L, 12L, 278L, 9L,
393L, 1129L, 22L, 1L, 16L, 521L, 18L, 665L, 2400L, 20L, 1L,
13L, 204L, 7L, 258L, 789L, 11L, 2L, 12L, 253L, 6L, 277L,
803L, 9L, 1L, 4L, 262L, 8L, 324L, 960L, 9L, 3L, 442L, 15L,
516L, 1890L, 16L, 2L, 14L, 249L, 8L, 240L, 688L, 11L, 15L,
182L, 7L, 200L, 548L, 5L, 2L, 3L, 171L, 7L, 183L, 480L, 5L,
1L, 3L, 176L, 5L, 231L, 506L, 6L, 15L, 283L, 18L, 322L, 786L,
11L, 13L, 210L, 9L, 232L, 649L, 2L, 1L, 2L, 258L, 4L, 306L,
891L, 9L, 4L, 183L, 10L, 293L, 634L, 4L, 1L, 3L, 188L, 9L,
244L, 566L, 11L, 134L, 1L, 176L, 453L, 4L)), .Names = c("date",
"Fuentes", "sessions"), row.names = c(NA, -208L), class = c("grouped_df",
"tbl_df", "tbl", "data.frame"), vars = list(date), drop = TRUE))
1 个解决方案
解决方案1
1 已采纳 2015-02-16 14:04:55
出于某种原因，如果将自定义tool_tip函数用作反应式，则必须在反应式上下文之外定义该功能。 即使将函数直接放在ggvis代码中，也不会随着更改的数据而更新。 通过简单的移动mysessions无功上述功能ggvis绘制你的代码将正常工作。
shiny::runGist("https://gist.github.com/cdeterman/cc0e4a38863edcfea3ea")
我对“闪亮”中的机制没有足够的了解，无法解释为什么会这样。 您可能需要转到github页上的问题，如果您对特定原因感到好奇，那么看看是否有人可以更好地解释这一点。
增加DateRangeInput的高度并在R Shiny中对齐
[英]Increasing the height of the DateRangeInput and alignment in R shiny
声明:本站的技术帖子网页，遵循CC BY-SA 4.0协议，如果您需要转载，请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.