我有一个大型闪亮的应用程序,允许用户使用同一组初始选择参数同时过滤API和spark表聚合(转储到.Rdata)。将所有这些组合成一个可重复的例子将是艰难的,但是,这是分组和总结我感兴趣的度量的函数(试图拒绝让我粘贴partitionFiltered()
):
df <- reactive({partitionFiltered() %>%
dplyr::group_by(updatedTimeHour, direction) %>%
dplyr::mutate(count_dir = sum(n_flows)) %>%
dplyr::ungroup() %>%
dplyr::select(updatedTimeHour, direction, count_dir) %>%
dplyr::arrange(updatedTimeHour) %>%
unique()})
(最终,updatedTimeHour
和direction
将分别由input$periodicity
和input$dimension
取代,但这超出了此问题的范围。)
df()
对象如下:
updatedTimeHour direction count_dir
6 1 525071.00
6 2 3491.00
6 0 498816.00
6 3 5374.00
7 2 2432.00
7 0 303818.00
7 1 340768.00
7 3 4852.00
8 1 1969048.00
我的高潮呼唤似乎并没有像我期望的那样对美学进行分组和着色:
hc <- highchart() %>%
hc_add_series(data = df()$count_dir,
type = input$plot_type,
name = factor(df()$direction)
showInLegend = TRUE,
# ??group = df()$direction,
# ??color = df()$direction,
# ??x = df()$updatedTimeHour, y = df()$count_dir, color = df()$direction,
# ??hcaes(x = df()$updatedTimeHour, y = df()$count_dir, color = df()$direction)
) %>%
hc_xAxis(type = 'datetime',
# ??group = factor(df()$direction),
categories = df()$updatedTimeHour,
tickmarkPlacement = "on",
opposite = FALSE) %>%
hc_title(text = "NetFlows, by Hour",
style = list(fontWeight = "bold")) %>%
hc_exporting(enabled = TRUE, filename = "threat_extract")
正如您可能已经说过的那样,我对于在何处/如何映射x-grouping udpatedTimeHour
非常困惑,或者对相应的direction
级别进行了适当的着色,并确保他们的group
最终正确映射到图例中的标签并悬停。
我还尝试使用hcaes()
调用来映射这些美学,我在一些文档中将hc_add_series()
作为hc_
的参数包含在内,但我得到的错误是说该参数不是(任何更长?)在{{1}}函数中命名...
感谢任何帮助,相关问题为here。
答案 0 :(得分:2)
您正尝试将多个对象添加为多个对象,这就是为什么不起作用的原因。只需更改一下代码并使用“魔术”函数hchart
就可以了:
df = data_frame(updatedTimeHour = c(6,6,6,6,7,7,7,7,8), direction = c(1,2,0,3,2,0,1,3,1), count_dir = rnorm(9))
type = "line"
hchart(df, type, hcaes(x = updatedTimeHour, y = count_dir, group = as.factor(direction))) %>%
hc_title(text = "NetFlows, by Hour",
style = list(fontWeight = "bold")) %>%
hc_exporting(enabled = TRUE, filename = "threat_extract")