Shiny

How to add Newline in the detail message of a Shiny Progress bar?

北慕城南 提交于 2021-01-04 03:30:29
问题 Is there any way to write add a newline character in a Shiny Progress bar message? \n or <br> does not seem to work. I am trying to convert one of my old codes into a shiny app. The code basically calls a number of functions one after another, all of which take some time to execute. From the app, I would like to know which functions have already executed and the amount of time each of them took. I am trying to achieve this using the progress bar feature. Do let me know if there are better

How to add Newline in the detail message of a Shiny Progress bar?

主宰稳场 提交于 2021-01-04 03:29:25
问题 Is there any way to write add a newline character in a Shiny Progress bar message? \n or <br> does not seem to work. I am trying to convert one of my old codes into a shiny app. The code basically calls a number of functions one after another, all of which take some time to execute. From the app, I would like to know which functions have already executed and the amount of time each of them took. I am trying to achieve this using the progress bar feature. Do let me know if there are better

R -shiny- DT: how to update col filters

天大地大妈咪最大 提交于 2021-01-04 03:17:39
问题 I would like to use DT to allow the users to modify a dataset. However, when the factor cols change (by adding or removing a factor level) the corresponding table filter remains unchanged. In the following example: if I change a Species, the new Species does not appear in the filter dropdown list. Is there a workaround? Many thanks! library(shiny) library(DT) library(dplyr) iris2=iris %>% group_by(Species) %>% filter(Petal.Length==max(Petal.Length)) ui <- fluidPage( fluidRow(column(12,

R -shiny- DT: how to update col filters

安稳与你 提交于 2021-01-04 03:12:47
问题 I would like to use DT to allow the users to modify a dataset. However, when the factor cols change (by adding or removing a factor level) the corresponding table filter remains unchanged. In the following example: if I change a Species, the new Species does not appear in the filter dropdown list. Is there a workaround? Many thanks! library(shiny) library(DT) library(dplyr) iris2=iris %>% group_by(Species) %>% filter(Petal.Length==max(Petal.Length)) ui <- fluidPage( fluidRow(column(12,

R -shiny- DT: how to update col filters

大城市里の小女人 提交于 2021-01-04 03:12:41
问题 I would like to use DT to allow the users to modify a dataset. However, when the factor cols change (by adding or removing a factor level) the corresponding table filter remains unchanged. In the following example: if I change a Species, the new Species does not appear in the filter dropdown list. Is there a workaround? Many thanks! library(shiny) library(DT) library(dplyr) iris2=iris %>% group_by(Species) %>% filter(Petal.Length==max(Petal.Length)) ui <- fluidPage( fluidRow(column(12,

R -shiny- DT: how to update col filters

雨燕双飞 提交于 2021-01-04 03:12:40
问题 I would like to use DT to allow the users to modify a dataset. However, when the factor cols change (by adding or removing a factor level) the corresponding table filter remains unchanged. In the following example: if I change a Species, the new Species does not appear in the filter dropdown list. Is there a workaround? Many thanks! library(shiny) library(DT) library(dplyr) iris2=iris %>% group_by(Species) %>% filter(Petal.Length==max(Petal.Length)) ui <- fluidPage( fluidRow(column(12,

R -shiny- DT: how to update col filters

女生的网名这么多〃 提交于 2021-01-04 03:12:32
问题 I would like to use DT to allow the users to modify a dataset. However, when the factor cols change (by adding or removing a factor level) the corresponding table filter remains unchanged. In the following example: if I change a Species, the new Species does not appear in the filter dropdown list. Is there a workaround? Many thanks! library(shiny) library(DT) library(dplyr) iris2=iris %>% group_by(Species) %>% filter(Petal.Length==max(Petal.Length)) ui <- fluidPage( fluidRow(column(12,

Collect all input labels in Shiny R

你。 提交于 2021-01-03 08:41:26
问题 Inspired in this answer [Collect All user inputs throughout the Shiny App I could get all the inputs values. However, I want also the label of each shiny input. Is there any way to get all LABELS of each input in Shiny? Below the R-Shiny code: library(shiny) ui<- fluidPage( titlePanel("Dynamically generated user interface components"), fluidRow( column(3, selectInput("cnt_id", "Country", c("USA", "Cananada", "Mexico"), ), selectInput('cod_id', 'Code', c(Choose='', c("c12","c13","c14")),

Collect all input labels in Shiny R

孤人 提交于 2021-01-03 08:38:04
问题 Inspired in this answer [Collect All user inputs throughout the Shiny App I could get all the inputs values. However, I want also the label of each shiny input. Is there any way to get all LABELS of each input in Shiny? Below the R-Shiny code: library(shiny) ui<- fluidPage( titlePanel("Dynamically generated user interface components"), fluidRow( column(3, selectInput("cnt_id", "Country", c("USA", "Cananada", "Mexico"), ), selectInput('cod_id', 'Code', c(Choose='', c("c12","c13","c14")),

Shiny R observeEvent with Multiple Conditions from selectInput

旧街凉风 提交于 2021-01-02 02:06:45
问题 I'm working on a shiny app and I'm running into difficulty with observeEvent() function when creating a complex expression of multiple inputs that all derive from selectInput() . My issue is some of the expressions within the observeEvent() function are triggered at startup, causing the event to prematurely execute (i.e. my actionButton() is disabled at startup, as it should be, but becomes enabled when at least one of the inputs are selected when ideally I would want it to become enabled