R Plotly - 绘制多条回归线

Question

如何在 plotly 中将多条回归线添加到同一个图中？

我想绘制散点图，以及每个类别的回归线

散点图绘制得很好，但是图形线条绘制不正确（与 excel 输出相比，见下文）

df <-  as.data.frame(1:19)

df$CATEGORY <- c("C","C","A","A","A","B","B","A","B","B","A","C","B","B","A","B","C","B","B")
df$x <- c(126,40,12,42,17,150,54,35,21,71,52,115,52,40,22,73,98,35,196)
df$y <- c(92,62,4,23,60,60,49,41,50,76,52,24,9,78,71,25,21,22,25)

df[,1] <- NULL

fv <- df %>%
  filter(!is.na(x)) %>%
  lm(x ~ y + y*CATEGORY,.) %>%
  fitted.values()

p <- plot_ly(data = df,
         x = ~x,
         y = ~y,
         color = ~CATEGORY,
         type = "scatter",
         mode = "markers"
) %>%
  add_trace(x = ~y, y = ~fv, mode = "lines")

p

抱歉没有事先添加所有信息，感谢您添加 "y*CATEGORY" 解决平行线问题的建议。

Excel 输出 https://i.imgur.com/2QMacSC.png

R输出 https://i.imgur.com/LNypvDn.png

Answer 1

试试这个：

library(plotly)
df <-  as.data.frame(1:19)

df$CATEGORY <- c("C","C","A","A","A","B","B","A","B","B","A","C","B","B","A","B","C","B","B")
df$x <- c(126,40,12,42,17,150,54,35,21,71,52,115,52,40,22,73,98,35,196)
df$y <- c(92,62,4,23,60,60,49,41,50,76,52,24,9,78,71,25,21,22,25)

df[,1] <- NULL

df$fv <- df %>%
  filter(!is.na(x)) %>%
  lm(y ~ x*CATEGORY,.) %>%
  fitted.values()

p <- plot_ly(data = df,
         x = ~x,
         y = ~y,
         color = ~CATEGORY,
         type = "scatter",
         mode = "markers"
) %>%
  add_trace(x = ~x, y = ~fv, mode = "lines")

p

R Plotly - 绘制多条回归线

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