我想以更具交互性的方式修改输入并显示一些R代码的输出。我认为这对于Shiny应用程序来说是一项理想的任务,但是我对编写它们并不十分熟悉。我有一些R代码,需要一个文本字符串,并通过在随机位置添加字母或单词来迭代地更改它:
library(tidyverse)
evolve_sentence <- function(sentence, arg2) {
chars <- str_split(sentence, "") %>% pluck(1)
if (runif(1) > 0.5) {
chars[sample(1:length(chars), 1)] <- sample(chars, 1)
}
sentence <- str_c(chars, collapse = "")
words <- str_split(sentence, " ") %>% pluck(1)
if (runif(1) > 0.9) {
words[sample(1:length(words), 1)] <- sample(words, 1)
}
sentence <- str_c(words, collapse = " ")
sentence
}
tbl_evolve <- tibble(iteration = 1:500, text = "I met a traveller from an antique land")
for (i in 2:500) {
tbl_evolve$text[i] <- evolve_sentence(tbl_evolve$text[i - 1])
}
tbl_evolve %>%
distinct(text, .keep_all = TRUE)
输出看起来像这样:
1 I met a traveller from an antique land
2 I met a tIaveller from an antique land
4 I met a tIaveller from an antique lanr
5 I met a tIaveller from an fntique lanr
6 I met a tIaveller fromnan met lanr
我希望将其呈现为Shiny应用程序,其中用户可以指定输入文本和不同类型的更改的可能性。对于后者,用户可以指定(runif(1)> 0.5)和(runif(1)> 0.9)中的值。我知道使用插入UI和actionButton
在Shiny中是可能的。
我不太确定是否有一种动态显示输出的方法,以便用户可以直观地看到代码的每个迭代(每个迭代之间都有定义的时间延迟吗?),而不是一次看到所有的迭代输出一次处理现有代码。我对动态可视化输出的各种方法持开放态度,但我认为理想情况下,用户会看到每次迭代都被具有时间延迟的下一次替换所取代。 我还想要一个带有当前输出的选项卡,每个迭代都是一行,因此用户可以返回并查看每个迭代。
对于在Shiny中是否可行或我是否需要其他工具的任何建议,将不胜感激。
答案 0 :(得分:1)
library(shiny)
library(tidyverse)
# Define UI for application that draws a histogram
ui <- fluidPage(
# Application title
titlePanel("Simple Testcase"),
# Sidebar with a slider input for number of bins
sidebarLayout(
sidebarPanel(
textInput("textinput", "Type text here"),
numericInput("p1", "Probability1", value = 0.5),
numericInput("p2", "Probability2", value = 0.9),
sliderInput("iteration", "Iterations", min = 20, max = 1000, step = 10, value = 100),
actionButton("calc", "Run Calculation!")
),
# Show a plot of the generated distribution
mainPanel(
tableOutput("ui")
)
)
)
# Define server logic required to draw a histogram
server <- function(session ,input, output) {
vals <- reactiveValues(counter = 0)
result <- eventReactive(input$calc, {
evolve_sentence <- function(sentence, arg2) {
chars <- str_split(sentence, "") %>% pluck(1)
if (runif(1) > input$p1) { # Value from numericinput p2
chars[sample(1:length(chars), 1)] <- sample(chars, 1)
}
sentence <- str_c(chars, collapse = "")
words <- str_split(sentence, " ") %>% pluck(1)
if (runif(1) > input$p2) { # Value from numericinput p2
words[sample(1:length(words), 1)] <- sample(words, 1)
}
sentence <- str_c(words, collapse = " ")
sentence
}
tbl_evolve <- tibble(iteration = 1:500, text = input$textinput)
for (i in 2:500) {
tbl_evolve$text[i] <- evolve_sentence(tbl_evolve$text[i - 1])
}
output <-tbl_evolve %>%
distinct(text, .keep_all = TRUE)
print(output)
output
})
output$ui <- renderTable({
df <- result()
invalidateLater(millis = 300, session)
vals$counter <- isolate(vals$counter) + 1
while(nrow(df) < vals$counter) {
vals$counter <- isolate(vals$counter) + 1
} #Prevent to add infinite empty columns.
for(i in 1:nrow(df)) {
newdf <- df[1:vals$counter,]
}
newdf
})
}
# Run the application
shinyApp(ui = ui, server = server)
这个怎么样?要渲染该表,我们可以设置一个reactiveValue
,该函数在i nvalidateLater
函数触发后会更新。取计数器的值作为最终数据集的子集。