使用
我创建了一个名为
然而，如果您交换顺序，它会返回错误消息。
diamonds 数据集和下面的代码： library(dplyr)
library(ggplot2)
diam <- diamonds %>%
dplyr::select(cut, color, carat, price) %>%
dplyr::arrange(cut, color) %>%
dplyr::group_by(cut, color)
diam[c(10:30, 100:140, 300:500, 765:963,1476:1987,2469:3786,5000:6000,
8654:9876, 11000:12670, 21678:23456,35648:37896,
45469:46789,49876:51346), c(3, 4)] <- NA
write.csv(diam, "diam.csv")
我创建了一个名为
diam.csv的文件，用于下面的shiny应用程序。library(dplyr)
library(ggplot2)
library(shiny)
ui <- fluidPage(
titlePanel(
sidebarLayout(
sidebarPanel(
tags$h1(tags$strong("Shiny app")),
fileInput("file", "Upload your file"),
width =2),
mainPanel(width =10,
uiOutput("tb")))))
#server
server <- function(input,output){
data <- reactive({
file1 <- input$file
if(is.null(file1)){return()}
read.csv(file1$datapath, header=TRUE, sep=',')
})
output$sum <- renderTable({
if(is.null(data())){return ()}
df_summary <- data()
df_summary1 <- df_summary %>%
dplyr::select(cut, color, carat, price)
summary(df_summary1)
})
output$table <- renderDataTable({
if(is.null(data())){return ()}
data()
})
output$stats <- renderDataTable({
if(is.null(data())){return ()}
diam1 <- data()
print(
diam_stats <- diam1 %>%
dplyr::select(cut, color, carat) %>%
dplyr::arrange(cut, color) %>%
dplyr::group_by(cut, color) %>%
dplyr::filter(!is.na(carat)) %>%
dplyr::summarise_each(funs(
mean(., na.rm=T),
sd(., na.rm=T),
n()))
)
})
output$tb <- renderUI({
if(is.null(data()))
h5()
else
tabsetPanel(type="tab",
tabPanel(h3("Summary", align="center"),
tableOutput("sum")),
tabPanel(h3("Data"),
dataTableOutput("table")),
tabPanel(h3("Stats"),
dataTableOutput("stats")))
})
}
shinyApp(ui = ui, server = server)
我在汇总标签页中遇到了以下错误：
"c('standardGeneric', 'genericFunction', 'function', 'OptionalFunction', 'PossibleMethod', 'optionalMethod')"类对象应用'select_'方法未被识别。
在统计标签页中也出现了以下错误：
"funs"参数缺失，无默认值。
我使用的是 dplyr_0.4.3 版本。有什么解决这些问题的建议吗？
更新
以下是错误的打印屏幕：
这是控制台中显示的内容：
Listening on http://127.0.0.1:3606
Warning: Error in UseMethod: no applicable method for 'select_' applied to an object of class "c('standardGeneric', 'genericFunction', 'function', 'OptionalFunction', 'PossibleMethod', 'optionalMethod')"
Stack trace (innermost first):
73: select_
72: dplyr::select
71: ..redirect
70: %>%
69: renderTable [C:\R\Shiny\diam_app/app.R#28]
68: func
67: output$sum
1: runApp
Warning: Error in lazyeval::as.lazy_dots: argument "funs" is missing, with no default
Stack trace (innermost first):
83: lazyeval::as.lazy_dots
82: funs_
81: inherits
80: is.fun_list
79: stopifnot
78: colwise_
77: summarise_each_
76: dplyr::summarise_each
75: ..redirect
74: %>%
73: print
72: exprFunc [C:\R\Shiny\diam_app/app.R#42]
71: widgetFunc
70: func
69: renderFunc
68: output$stats
1: runApp
这里是sessioninfo()函数。
R version 3.2.5 (2016-04-14)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1
locale:
[1] LC_COLLATE=English_New Zealand.1252 LC_CTYPE=English_New Zealand.1252 LC_MONETARY=English_New Zealand.1252 LC_NUMERIC=C
[5] LC_TIME=English_New Zealand.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] lazyeval_0.1.10 EcoHydRology_0.4.12 DEoptim_2.2-3 topmodel_0.7.2-2 operators_0.1-8 plotly_3.4.13 googleVis_0.5.10
[8] tidyr_0.4.1 raster_2.5-2 leaflet_1.0.1 chron_2.3-47 date_1.2-34 scales_0.4.0 dplyr_0.4.3
[15] DT_0.1 ggplot2_2.1.0 pixmap_0.4-11 RgoogleMaps_1.2.0.7 sp_1.2-3 XML_3.98-1.4 shiny_0.13.2
loaded via a namespace (and not attached):
[1] reshape2_1.4.1 lattice_0.20-33 colorspace_1.2-6 htmltools_0.3.5 yaml_2.1.13 base64enc_0.1-3 withr_1.0.1 DBI_0.3.1
[9] plyr_1.8.3 stringr_1.0.0 munsell_0.4.3 gtable_0.2.0 htmlwidgets_0.6 devtools_1.11.1 memoise_1.0.0 labeling_0.3
[17] httpuv_1.3.3 curl_0.9.7 parallel_3.2.5 Rcpp_0.12.4 xtable_1.8-2 jsonlite_0.9.19 mime_0.4 gridExtra_2.2.1
[25] png_0.1-7 digest_0.6.9 stringi_1.0-1 RJSONIO_1.3-0 grid_3.2.5 tools_3.2.5 magrittr_1.5 assertthat_0.1
[33] httr_1.1.0 viridis_0.3.4 R6_2.1.2 git2r_0.14.0
更新 5月4日
我没有意识到EcoHydRology_0.4.12软件包是这个错误消息的源头。这就是为什么它没有包含在上面的示例中。
感谢@enpitsu指出问题的来源以及他通过先加载EcoHydRology软件包然后再加载dplyr的好解决方案。
以下是一个示例，可以重现相同的错误，包括EcoHydRology_0.4.12。
如果按照以下顺序加载软件包，则示例将正常工作
library(EcoHydRology)
library(dplyr)
然而，如果您交换顺序，它会返回错误消息。
set.seed(123)
date <- rep (as.Date(seq(as.Date("2003-01-01"), as.Date("2008-05-31"), by = 1), format="%Y-%m-%d"), 2)
siteID <- c(rep("site1", 1978), rep("site2", 1978))
flow <- runif(3956, 48530, 1250365)
df <- data.frame(date, siteID, flow)
library(dplyr)
library(EcoHydRology)
df1 <- df %>%
dplyr::select(siteID, flow) %>%
dplyr::group_by(siteID) %>%
dplyr::do(cbind(., BaseflowSeparation(.$flow, filter_parameter = 0.925, passes = 3)))
summary(df1)
df2 <- df1 %>%
dplyr::select(siteID, flow, bt, qft) %>%
dplyr::group_by(siteID) %>%
dplyr::summarise_each(funs(
mean(., na.rm=T),
sd(., na.rm=T),
n()))
df2