R 使用源代码时在ShinyApp中找不到函数
我有一个闪亮的应用程序，它包含两个文件：app.R和functions.RR 使用源代码时在ShinyApp中找不到函数,r,shiny,R,Shiny,我有一个闪亮的应用程序，它包含两个文件：app.R和functions.R # generates an example df based on inputed budgets create_sample_df <- function(budgets) { data.frame(cohort = seq('2020-10-01' %>% ymd, '2021-12-31' %>% ymd, by = '1 days')) %>% mutate(Quart
# generates an example df based on inputed budgets
create_sample_df <- function(budgets) {
data.frame(cohort = seq('2020-10-01' %>% ymd, '2021-12-31' %>% ymd, by = '1 days')) %>%
mutate(Quarter = quarter(cohort, with_year = T)) %>%
add_count(Quarter) %>%
mutate(DailyBudget = budgets[Quarter %>% as.character] %>% unlist / n) %>%
group_by(Quarter) %>%
mutate(Revenue = DailyBudget + rnorm(n(), mean = 0, sd = DailyBudget / 5)) %>%
summarise(Spend = sum(DailyBudget),
Revenue = sum(Revenue),
.groups = 'drop') %>%
mutate(Profit = dollar(Revenue - Spend),
Payback = percent(Revenue / Spend),
Spend = dollar(Spend),
Revenue = dollar(Revenue)) %>%
mutate(Quarter = as.character(Quarter)) # do this last keep ordering of quarters
}
# render DT
render_dt <- function(budgets, ...) {
DT::renderDT(create_sample_df(budgets), editable = 'cell', server = T,
list(target = 'column', disable = list(columns = c(0,2,3,4))))
}
# Setup ----
pacman::p_load(shiny, tidyverse, shinydashboard, lubridate, scales, DT)
source('functions.R', local = T)
# UI ----
header <- dashboardHeader(title = 'Velocity Spend & Return Calculator')
HTML("Adjust spend column for calculations")
sidebar <- dashboardSidebar(
menuItem("dh", tabName = "dh", icon = icon("dashboard"))
)
body <- dashboardBody(
tabItems(
tabItem(tabName = "dh",
h2("DH Estimator"),
HTML("Adjust spend column for calculations"),
DT::DTOutput('example_ui_dh')
)
)
)
ui <- dashboardPage(header, sidebar, body)
# Server ----
server <- function(input, output) {
# Initial budgets, eventually set to come from dropdowns or user input
budgets <- list(
'2020.4' = 1000000,
'2021.1' = 1000000,
'2021.2' = 1000000,
'2021.3' = 1000000,
'2021.4' = 1000000
)
dh_proxy = DT::dataTableProxy('example_ui_dh')
# eventually use distinct budgets for each, just demo right now
output$example_ui_dh <- render_dt(budgets)
# eventually make this a function
# pass for now and just copy paste for demo
# adding observeEvent to a function is not straightforwards
# dh
observeEvent(input$example_ui_dh_cell_edit, {
info = input$example_ui_dh_cell_edit
str(info)
i = info$row
j = info$col
v = info$value
budgets[[i]] <<- v %>% as.numeric()
replaceData(dh_proxy, create_sample_df(budgets), resetPaging = FALSE)
})
}
shinyApp(ui, server)
新环境中的功能正在运行 -输出 -会议
sessionInfo()
R version 4.0.2 (2020-06-22)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Catalina 10.15.6
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib
locale:
[1] en_CA.UTF-8/en_CA.UTF-8/en_CA.UTF-8/C/en_CA.UTF-8/en_CA.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] DT_0.14 lubridate_1.7.9 shinydashboard_0.7.1 sjlabelled_1.1.6 scales_1.1.1 labelled_2.6.0 haven_2.3.1
[8] tidyr_1.1.0 ggplot2_3.3.2 dplyr_1.0.1 questionr_0.7.2 shiny_1.5.0
loaded via a namespace (and not attached):
[1] tidyselect_1.1.0 purrr_0.3.4 snakecase_0.11.0 colorspace_1.4-1 vctrs_0.3.2 generics_0.0.2 miniUI_0.1.1.1 htmltools_0.5.0
[9] yaml_2.2.1 rlang_0.4.7 later_1.1.0.1 pillar_1.4.6 glue_1.4.1 withr_2.2.0 lifecycle_0.2.0 munsell_0.5.0
[17] gtable_0.3.0 htmlwidgets_1.5.1 labeling_0.3 forcats_0.5.0 fastmap_1.0.1 httpuv_1.5.4 crosstalk_1.1.0.1 curl_4.3
[25] fansi_0.4.1 highr_0.8 Rcpp_1.0.5 xtable_1.8-4 readr_1.3.1 promises_1.1.1 jsonlite_1.7.0 mime_0.9
[33] farver_2.0.3 hms_0.5.3 digest_0.6.25 stringi_1.4.6 insight_0.9.0 grid_4.0.2 cli_2.0.2 tools_4.0.2
[41] magrittr_1.5 tibble_3.0.3 pacman_0.5.1 crayon_1.3.4 pkgconfig_2.0.3 ellipsis_0.3.1 assertthat_0.2.1 rstudioapi_0.11
[49] R6_2.4.1 compiler_4.0.2
pacman::p_load(shiny, dplyr, shinydashboard, lubridate, scales, DT)
myenv <- new.env()
source(file.path(getwd(), 'Downloads/functions_new.R'), local = myenv)
# UI ----
header <- dashboardHeader(title = 'Velocity Spend & Return Calculator')
HTML("Adjust spend column for calculations")
sidebar <- dashboardSidebar(
menuItem("dh", tabName = "dh", icon = icon("dashboard"))
)
body <- dashboardBody(
tabItems(
tabItem(tabName = "dh",
h2("DH Estimator"),
HTML("Adjust spend column for calculations"),
DT::DTOutput('example_ui_dh')
)
)
)
ui <- dashboardPage(header, sidebar, body)
# Server ----
server <- function(input, output) {
# Initial budgets, eventually set to come from dropdowns or user input
budgets <- list(
'2020.4' = 1000000,
'2021.1' = 1000000,
'2021.2' = 1000000,
'2021.3' = 1000000,
'2021.4' = 1000000
)
dh_proxy = DT::dataTableProxy('example_ui_dh')
# eventually use distinct budgets for each, just demo right now
output$example_ui_dh <- myenv$render_dt(budgets)
print(budgets)
# dh
observeEvent(input$example_ui_dh_cell_edit, {
info = input$example_ui_dh_cell_edit
str(info)
i = info$row
j = info$col
v = info$value
budgets[[i]] <<- v %>% as.numeric()
replaceData(dh_proxy, myenv$create_sample_df(budgets), resetPaging = FALSE)
})
}
shinyApp(ui, server)
pacman:：p_负载（闪亮、dplyr、闪亮仪表板、润滑、天平、DT）
我没有？不知道那是什么？我使用T作为True的rstudio速记，只需将文件functions.R重命名为global.R即可。那么你就不需要源代码了。好吧，根据它将速记t改为TRUEBased应该可以工作是的，看起来确实是同一个问题，但即使在我对源代码的调用中添加local=TRUE，也会导致函数不可用时的相同错误found@DougFir从您的会话信息，我发现作为1.4.0版本的shinny
，我已经更新了1.5.0版本的所有软件包，shinny现在是1.5版本。。。问题依然存在though@DougFir对不起，我希望我能有一个答案，我会做研究，如果我发现了什么，我会更新你的，很有趣。我以前从未这样做过，但我会在周一试一试。谢谢你的建议，我会在这里更新的…我通过编辑我的函数解决了这个问题。在我的原始函数中，我的函数render\u dt
上面的.R依次调用另一个函数create\u sample\u df
。这似乎就是问题所在。因此，我将定义更改为render_dt=function（data，editable='cell'，server=TRUE，…）{renderDT（data，selection='none'，server=server，editable=editable，…）}
然后像这样调用它render_dt（create_sample_df（预算），rownames=FALSE，list（目标='列'，…）
sessionInfo()
R version 4.0.2 (2020-06-22)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Catalina 10.15.6
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib
locale:
[1] en_CA.UTF-8/en_CA.UTF-8/en_CA.UTF-8/C/en_CA.UTF-8/en_CA.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] DT_0.14 lubridate_1.7.9 shinydashboard_0.7.1 sjlabelled_1.1.6 scales_1.1.1 labelled_2.6.0 haven_2.3.1
[8] tidyr_1.1.0 ggplot2_3.3.2 dplyr_1.0.1 questionr_0.7.2 shiny_1.5.0
loaded via a namespace (and not attached):
[1] tidyselect_1.1.0 purrr_0.3.4 snakecase_0.11.0 colorspace_1.4-1 vctrs_0.3.2 generics_0.0.2 miniUI_0.1.1.1 htmltools_0.5.0
[9] yaml_2.2.1 rlang_0.4.7 later_1.1.0.1 pillar_1.4.6 glue_1.4.1 withr_2.2.0 lifecycle_0.2.0 munsell_0.5.0
[17] gtable_0.3.0 htmlwidgets_1.5.1 labeling_0.3 forcats_0.5.0 fastmap_1.0.1 httpuv_1.5.4 crosstalk_1.1.0.1 curl_4.3
[25] fansi_0.4.1 highr_0.8 Rcpp_1.0.5 xtable_1.8-4 readr_1.3.1 promises_1.1.1 jsonlite_1.7.0 mime_0.9
[33] farver_2.0.3 hms_0.5.3 digest_0.6.25 stringi_1.4.6 insight_0.9.0 grid_4.0.2 cli_2.0.2 tools_4.0.2
[41] magrittr_1.5 tibble_3.0.3 pacman_0.5.1 crayon_1.3.4 pkgconfig_2.0.3 ellipsis_0.3.1 assertthat_0.2.1 rstudioapi_0.11
[49] R6_2.4.1 compiler_4.0.2
pacman::p_load(shiny, dplyr, shinydashboard, lubridate, scales, DT)
myenv <- new.env()
source(file.path(getwd(), 'Downloads/functions_new.R'), local = myenv)
# UI ----
header <- dashboardHeader(title = 'Velocity Spend & Return Calculator')
HTML("Adjust spend column for calculations")
sidebar <- dashboardSidebar(
menuItem("dh", tabName = "dh", icon = icon("dashboard"))
)
body <- dashboardBody(
tabItems(
tabItem(tabName = "dh",
h2("DH Estimator"),
HTML("Adjust spend column for calculations"),
DT::DTOutput('example_ui_dh')
)
)
)
ui <- dashboardPage(header, sidebar, body)
# Server ----
server <- function(input, output) {
# Initial budgets, eventually set to come from dropdowns or user input
budgets <- list(
'2020.4' = 1000000,
'2021.1' = 1000000,
'2021.2' = 1000000,
'2021.3' = 1000000,
'2021.4' = 1000000
)
dh_proxy = DT::dataTableProxy('example_ui_dh')
# eventually use distinct budgets for each, just demo right now
output$example_ui_dh <- myenv$render_dt(budgets)
print(budgets)
# dh
observeEvent(input$example_ui_dh_cell_edit, {
info = input$example_ui_dh_cell_edit
str(info)
i = info$row
j = info$col
v = info$value
budgets[[i]] <<- v %>% as.numeric()
replaceData(dh_proxy, myenv$create_sample_df(budgets), resetPaging = FALSE)
})
}
shinyApp(ui, server)