shiny checkboxGroupInput ggplots as list - r

Question

Could anyone suggest me the way to extract shiny checkboxgroupoinput options of different ggplots such as geom_bar(), geom_line() as a list. I tried the following simplified code, it prints only the last plot: Thanks for your help.
library(shiny)
library(ggplot2)
library(easyGgplot2)
patient <- cbind.data.frame(seq(1:14),matrix(sample(1:100, 84), ncol=6))
colnames(patient) <- c('DAYS', 'PHYSICAL_ACTIVITY', 'SMOKING','ALCOHOL_INTAKE', 'HYDRATION', 'SLEEP', 'Total_score')
ui <- fluidPage(
titlePanel("Data Plot"),
sidebarLayout(
sidebarPanel(
fluidRow(column(6,
checkboxGroupInput("checkGroup",
("Parameters"),
list("PHYSICAL ACTIVITY" = 1,
"SLEEP" = 2,
"ALCOHOL INTAKE" = 3,
"SELECT ALL" = 4
)))
),
fluidRow(column(10, actionButton("goButton", label = "Analysis Report"))
)
), #Sidebarpanel
mainPanel(
plotOutput("plot1", height='800px')
)#Mainpanel
) #Sidebar layout
)#fluidpage
server <- function(input, output) {
output$plot1 <- renderPlot({
input$goButton
p1 <- reactive({
if(!(1 %in% input$checkGroup)) return(NULL)
ggplot(data=patient, aes(x=DAYS, y=PHYSICAL_ACTIVITY))+geom_bar(stat="identity", aes(fill=PHYSICAL_ACTIVITY<=median(PHYSICAL_ACTIVITY)), show.legend=F)+scale_fill_manual(values = c('steelblue', 'red') )+labs(title = 'PHYSICAL ACTIVITY (STEPS)', x = NULL, y = NULL)+theme_minimal()
})
# Second plot
p2 <- reactive ({
if(!(2 %in% input$checkGroup )) return(NULL)
p2 <- ggplot(data=patient, aes(x=DAYS,y=SLEEP))+geom_line(colour='black', size=1)+geom_point(size=3, aes(colour=cut(SLEEP,c(-Inf,summary(SLEEP)[[2]],summary(SLEEP)[[5]],Inf))), show.legend=F)+scale_color_manual(values = c("red", "orange","green"))+labs(title = 'SLEEP (hrs)', x = NULL, y = NULL) +theme_minimal()
})
ptlist <- list(p1(),p2())
ggplot2.multiplot(ptlist, cols=1)
})
}
shinyApp(ui, server)

Answer 1

Example with reading csv.
library(shiny)
library(ggplot2)
library(easyGgplot2)
patient <- cbind.data.frame(
seq(1:14),
matrix(
sample(1:100, 84),
ncol = 6
)
)
colnames(patient) <- c(
'DAYS',
'PHYSICAL_ACTIVITY',
'SMOKING',
'ALCOHOL_INTAKE',
'HYDRATION',
'SLEEP',
'Total_score'
)
write.csv(patient, file="patient.csv")
ui <- fluidPage(
titlePanel("Data Plot"),
sidebarLayout(
sidebarPanel(
fluidRow(
column(6,
checkboxGroupInput(
"checkGroup",
"Parameters",
list(
"PHYSICAL ACTIVITY",
"SLEEP"),
selected = "PHYSICAL ACTIVITY")
)
),
fluidRow(
fileInput("file1", "Choose Data sheet",
multiple = TRUE,
accept = c("text/csv",
"text/comma-separated-values,text/plain",
".csv"))
)
),
mainPanel(
plotOutput("plots")
)
)
)
server <- function(input, output) {
patient <- reactive({
req(input$file1)
read.csv(input$file1$datapath,
header = T
)
})
plot_one <- function(patient.data) {
ggplot(patient.data, aes(x = DAYS, y = PHYSICAL_ACTIVITY)) +
geom_bar(
stat = "identity",
aes(fill = PHYSICAL_ACTIVITY <= median(PHYSICAL_ACTIVITY)),
show.legend = F) +
scale_fill_manual(
values = c('steelblue', 'red')) +
labs(title = 'PHYSICAL ACTIVITY (STEPS)',
x = NULL,
y = NULL) +
theme_minimal()
}
plot_two <- function(patient.data){
ggplot(patient.data, aes(x = DAYS, y = SLEEP)) +
geom_line(colour = 'black', size = 1) +
geom_point(size = 3,
aes(colour = cut(SLEEP,
c(-Inf,
summary(SLEEP)[[2]],
summary(SLEEP)[[5]],
Inf)
)
),
show.legend = F) +
scale_color_manual(values = c("red", "orange", "green")) +
labs(title = 'SLEEP (hrs)',
x = NULL,
y = NULL) +
theme_minimal()
}
output$plots <- renderPlot({
list.of.plots <- list(
`PHYSICAL ACTIVITY` = plot_one(patient()),
`SLEEP` = plot_two(patient())
)
do.call(ggplot2.multiplot, c(list.of.plots[input$checkGroup], cols=1))
})
}
shinyApp(ui, server)

Answer 2

It will work if replace ggplot2.multiplot(ptlist, cols=1) by do.call(ggplot2.multiplot, c(ptlist, cols=1))
But may be to do this with ggplot function in reactive is not a good way to achieve your goal.
You could to try something like this
library(shiny)
library(ggplot2)
library(easyGgplot2)
patient <- cbind.data.frame(
seq(1:14),
matrix(
sample(1:100, 84),
ncol = 6
)
)
colnames(patient) <- c(
'DAYS',
'PHYSICAL_ACTIVITY',
'SMOKING',
'ALCOHOL_INTAKE',
'HYDRATION',
'SLEEP',
'Total_score'
)
ui <- fluidPage(
titlePanel("Data Plot"),
sidebarLayout(
sidebarPanel(
fluidRow(
column(6,
checkboxGroupInput(
"checkGroup",
"Parameters",
list(
"PHYSICAL ACTIVITY",
"SLEEP"),
selected = "PHYSICAL ACTIVITY")
)
)
),
mainPanel(
plotOutput("plots")
)
)
)
server <- function(input, output) {
plot_one <- ggplot(data = patient, aes(x = DAYS, y = PHYSICAL_ACTIVITY)) +
geom_bar(
stat = "identity",
aes(fill = PHYSICAL_ACTIVITY <= median(PHYSICAL_ACTIVITY)),
show.legend = F) +
scale_fill_manual(
values = c('steelblue', 'red')) +
labs(title = 'PHYSICAL ACTIVITY (STEPS)',
x = NULL,
y = NULL) +
theme_minimal()
plot_two <- ggplot(data = patient, aes(x = DAYS, y = SLEEP)) +
geom_line(colour = 'black', size = 1) +
geom_point(size = 3,
aes(colour = cut(SLEEP,
c(-Inf,
summary(SLEEP)[[2]],
summary(SLEEP)[[5]],
Inf)
)
),
show.legend = F) +
scale_color_manual(values = c("red", "orange", "green")) +
labs(title = 'SLEEP (hrs)',
x = NULL,
y = NULL) +
theme_minimal()
list.of.plots <- list(
`PHYSICAL ACTIVITY` = plot_one,
`SLEEP` = plot_two
)
output$plots <- renderPlot(
do.call(ggplot2.multiplot, c(list.of.plots[input$checkGroup], cols=1))
)
}
shinyApp(ui, server)

Answer 3

library(shiny)
library(ggplot2)
library(easyGgplot2)
patient <- cbind.data.frame(
seq(1:14),
matrix(
sample(1:100, 84),
ncol = 6
)
)
colnames(patient) <- c(
'DAYS',
'PHYSICAL_ACTIVITY',
'SMOKING',
'ALCOHOL_INTAKE',
'HYDRATION',
'SLEEP',
'Total_score'
)
write.csv(patient, file="patient.csv")
ui <- fluidPage(
titlePanel("Data Plot"),
sidebarLayout(
sidebarPanel(
fluidRow(
column(6,
checkboxGroupInput(
"checkGroup",
"Parameters",
list(
"PHYSICAL ACTIVITY",
"SLEEP"),
selected = "PHYSICAL ACTIVITY")
)
),
fluidRow(
fileInput("file1", "Choose Data sheet",
multiple = TRUE,
accept = c("text/csv",
"text/comma-separated-values,text/plain",
".csv"))
)
),
mainPanel(
plotOutput("plots")
)
)
)
server <- function(input, output) {
patient <- reactive({
req(input$file1)
read.csv(input$file1$datapath,
header = T
)
})
plot_one <- ggplot(data = patient(), aes(x = DAYS, y = PHYSICAL_ACTIVITY)) +
geom_bar(
stat = "identity",
aes(fill = PHYSICAL_ACTIVITY <= median(PHYSICAL_ACTIVITY)),
show.legend = F) +
scale_fill_manual(
values = c('steelblue', 'red')) +
labs(title = 'PHYSICAL ACTIVITY (STEPS)',
x = NULL,
y = NULL) +
theme_minimal()
plot_two <- ggplot(data = patient(), aes(x = DAYS, y = SLEEP)) +
geom_line(colour = 'black', size = 1) +
geom_point(size = 3,
aes(colour = cut(SLEEP,
c(-Inf,
summary(SLEEP)[[2]],
summary(SLEEP)[[5]],
Inf)
)
),
show.legend = F) +
scale_color_manual(values = c("red", "orange", "green")) +
labs(title = 'SLEEP (hrs)',
x = NULL,
y = NULL) +
theme_minimal()
list.of.plots <- list(
`PHYSICAL ACTIVITY` = plot_one,
`SLEEP` = plot_two
)
output$plots <- renderPlot(
do.call(ggplot2.multiplot, c(list.of.plots[input$checkGroup], cols=1))
)
}
shinyApp(ui, server)