我试图在一个闪亮的应用程序中添加线性趋势线到情节图.当我改变选择参数时,我看到线性模型的系数发生了变化(使用observe(print(summary(l)).但是,图上的实际线条似乎保持在同一个位置.
这是一个最小的工作示例:
library(dplyr)
library(shiny)
library(plotly)
df <- as.data.frame(list("UserID"=c(1,1,1,1,2,2,2,2),
"QuestionID"=c(4,4,5,5,4,4,6,6),
"KeystrokeRate"=c(8,4,6,15,8,6,7,8),
"cumul.ans.keystroke"=c(1,7,1,5,1,14,1,9),
"Relative.Time.Progress"=c(0.1,1.0,0.4,1.0,0.8,1.0,0.8,1.0)
))
ui <- (fluidPage(
sidebarLayout(
sidebarPanel(
selectInput("userInput","Select User", sort(unique(df$UserID)),
selected = sort(unique(df$UserID))[1]),
uiOutput("answerOutput")#,
),
mainPanel(
plotlyOutput("mainPlot")#,
)
)
))
server <- function(input, output, session) {
# filter only based on selected user
filteredForUser <- reactive({
try(
df %>%
filter(
UserID == input$userInput
), silent=T)
})
# filter for both user and answer
filteredFull <- reactive({
try (
df %>%
filter(
UserID == input$userInput,
QuestionID == input$answerInput
), silent=T)
})
# filter answer choices based on user
output$answerOutput <- renderUI({
df.u <- filteredForUser()
if(!is.null(df)) {
selectInput("answerInput", "Select A Typing Session",
sort(unique(df.u$QuestionID)))
}
})
output$mainPlot <- renderPlotly({
if (class(filteredForUser()) == "try-error" ||
class(filteredFull()) == "try-error") {
return(geom_blank())
} else {
# plot scatter points and add trend lines
p <- plot_ly(filteredFull(), x=Relative.Time.Progress, y=cumul.ans.keystroke,
mode='markers', color=KeystrokeRate, size=KeystrokeRate,
marker=list(sizeref=100), type='scatter')
l <- lm(cumul.ans.keystroke ~ Relative.Time.Progress,
data=filteredFull())
observe(print(summary(l)))
p <- add_trace(p, y= fitted(l))
p
}
})
}
shinyApp(ui, server)
最佳答案 问题在于add_trace功能.您需要提供x轴以便能够正确绘制lm结果.
p <- add_trace(p, y = fitted(l), x = Relative.Time.Progress)
要更清楚地查看问题,请使用整个数据集可视化结果.
p <- plot_ly(df, x=Relative.Time.Progress, y=cumul.ans.keystroke,
mode='markers', color=KeystrokeRate, size=KeystrokeRate,
marker=list(sizeref=100), type='scatter')
p
l <- lm(cumul.ans.keystroke ~ Relative.Time.Progress,
data=df)
p <- add_trace(p, y = fitted(l))
p
p <- plot_ly(df, x=Relative.Time.Progress, y=cumul.ans.keystroke,
mode='markers', color=KeystrokeRate, size=KeystrokeRate,
marker=list(sizeref=100), type='scatter')
l <- lm(cumul.ans.keystroke ~ Relative.Time.Progress,
data=df)
p <- add_trace(p, y = fitted(l), x = Relative.Time.Progress)
p
正如您所看到的,add_trace正确绘制拟合(y),但使用x轴为c(0:7).我猜它是传递给add_trace的默认值,但我没有深入了解这个’为什么’.数据集df有八个点.您需要在x轴上给出实际的Relative.Time.Progress值,以正确绘制拟合的(y)w.r.t.实际的x值.希望这澄清一下.