Hello,
Thanks for the data.
There were some, not many, bugs that I have corrected below.
library(tidyverse)
#library(stringr) # attached with tidyverse
#library(readr)
library(shiny)
ttclasses <- read_csv("~/tmp/ttclasses.csv")
#Filter data
ttclasses <-ttclasses %>%
filter(str_detect(assessment, "Assignment"))
# With the attached data this filter
# removes all rows so I have
# commented it out
#ttclasses <-ttclasses %>%
# filter(str_detect(name, "Name"))
##Remove NA values.
ttclasses <-ttclasses %>% drop_na("score")
#Convert to factor
ttclasses$assessment <- factor(ttclasses$assessment)
# please see the formats in help("strptime")
ttclasses$due_date <- as.Date(ttclasses$due_date, format = "%m/%d/%y")
##ttclasses$name <- factor(ttclasses$name)
# Define UI ----
ui <- fluidPage(
# App title ----
titlePanel("Assessment Dashboard"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Selector for variable to plot the grades for the selected
# assignment ----
selectInput("assessment", "Assessment:",
c("Assignment 1" = "Assignment 1",
"Assignment 2" = "Assignment 2",
"Assignment 3" = "Assignment 3",
"Assignment 4" = "Assignment 4",
"Assignment 5" = "Assignment 5")),
selectInput("name", "Name:",
ttclasses[,2]),
dateRangeInput("due_date",
"Due-Date:",start = max(ttclasses$due_date) ,
separator = " - ")
),
# Main panel for displaying outputs ----
mainPanel(
# Output: Plot of the requested variable against grade ----
plotOutput("gradePlot")
)
)
)
# Define server logic to plot ----
server <- function(input, output) {
output$gradePlot <- renderPlot({
grade_ad = input$assessment
boxplot(ttclasses$score[ttclasses$assessment==grade_ad],
frame.plot=FALSE, horizontal=TRUE, col="magenta",
main=grade_ad)
ttclasses <-ttclasses %>%
filter(ttclasses$due_date >= input$due_date[1] & ttclasses$due_date
<= input$due_date[2])
})
}
# Create Shiny app ----
shinyApp(ui, server)
Hope this helps,
Rui Barradas
Às 18:03 de 07/06/21, Biplab Nayak escreveu:
Hi All,
I Need a bit of help to fix the code.
Code:
library(readr)
library(shiny)
ttclasses <- read_csv("ttclasses.csv")
#Filter data
library(stringr)
library(dplyr)
ttclasses <-ttclasses %>%
filter(str_detect(assessment, "Assignment"))
ttclasses <-ttclasses %>%
filter(str_detect(name, "Name"))
##Remove NA values.
library(tidyverse)
ttclasses <-ttclasses %>% drop_na("score")
#Convert to factor
ttclasses$assessment <- as.factor(ttclasses$assessment)
ttclasses$due_date = as.Date(ttclasses$due_date, format = "mm/dd/yy")
##ttclasses$name <- as.factor(ttclasses$name)
# Define UI ----
ui <- fluidPage(
# App title ----
titlePanel("Assessment Dashboard"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Selector for variable to plot the grades for the selected
assignment ----
selectInput("assessment", "Assessment:",
c("Assignment 1" = "Assignment 1",
"Assignment 2" = "Assignment 2",
"Assignment 3" = "Assignment 3",
"Assignment 4" = "Assignment 4",
"Assignment 5" = "Assignment 5")),
selectInput("name", "Name:",
ttclasses[,2]),
dateRangeInput("due_date",
"Due-Date:",start = max(ttclasses$due_date) ,
separator = " - ")
),
# Main panel for displaying outputs ----
mainPanel(
# Output: Plot of the requested variable against grade ----
plotOutput("gradePlot")
)
)
)
# Define server logic to plot ----
server <- function(input, output) {
output$gradePlot <- renderPlot({
grade_ad = input$assessment
boxplot(ttclasses$score[ttclasses$assessment==grade_ad],
frame.plot=FALSE, horizontal=TRUE, col="magenta", main=grade_ad)
ttclasses <-ttclasses %>%
filter(ttclasses$due_date >= input$due_date[1] & ttclasses$due_date
<= input$due_date[2])
})
}
# Create Shiny app ----
shinyApp(ui, server)
Thanks & Regards
[[alternative HTML version deleted]]
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______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.