試圖在 R 中的 ggplot 圖上獲得更平滑的線

Question

所以我有一個折線圖，我想讓它看起來比現在更平滑一些。 現在，圖表上有一堆鋸齒狀的邊緣，我希望它彎曲一點。 我嘗試使用 geom_smooth ，但這使得最大的 y 值接近 150，而它應該接近 230（如圖所示）。 知道如何使這個折線圖更平滑一點嗎？

library(tidyverse)
library(ggplot2)
library(ggrepel)
library(dplyr)

source("https://raw.githubusercontent.com/samhoppen/2020_FF_Analysis/master/Functions/fpros_scrape_projections.R")
source("https://raw.githubusercontent.com/samhoppen/2020_FF_Analysis/master/Functions/set_vor.R")

position <- c("qb", "rb", "wr", "te")
week <- "draft"

crossing(position, week)

projections <- crossing(position = position, week = week) %>% 
  pmap_dfr(scrape_projections) %>%
  mutate_at(vars(pass_yds, rush_yds, rec_yds), str_remove, ",") %>% 
  mutate_at(vars(pass_att:rec_tds), as.numeric) %>%
  mutate_at(vars(team:position), as.factor) %>% 
  select(-c("week")) %>% 
  as_tibble()

default_baseline <- c(QB = 15, RB =72, WR = 90, TE = 30, K = 6)

vor_table <- set_vor(projections,
                             vor_baseline = default_baseline,
                             vor_var = "fpts")
ggplot() +
  geom_line(data = vor_table,
              aes(x = fpts_rank, y = fpts_vor))

Answer 1

這可能有效：

ggplot()+  
stat_smooth(data = vor_table, aes(x = fpts_rank, y = fpts_vor), 
            se = F, method = "lm", formula = y ~ poly(x, 10))