Not getting confidence intervals ggplot R

utr*_*ala 3 r ggplot2 confidence-interval

I am struggling to get confidence interval around my regression line. My data consists of 7 columns and 50000 rows.

ID H.FC HFD N.FC NFD Group
G00000000004    1.08403833300442    0.00209119205547622 1.12705351468201    0.0017652841766293  BvsA
    G00000000059    1.70298155378132    0.000146008455537281    1.78927991144484    0.000126476263754446    BvsA
    G00000000067    1.48885136450707    1.94192154467639e-05    1.49169658915702    5.47633140183071e-05    CvsA
    G00000000081    5.92680429312136    3.63075878342954e-06    5.89059544062979    7.07992913581687e-06    DvsA
    G00000000086    0.499795076715132   0.00265935106849242 0.542319766242586   0.00212335608196823 BvsC
    G00000000102    -2.60510733887004   0.000669953697126189    -2.62720386931755   0.000122899865824463    BvsA
    G00000000104    -2.80909148854584   0.00686396994798396 -2.94362698679174   0.00342818761913247 BvsA
    G00000000106    0.255264785072867   0.0388723342557597  0.174743590276556   0.197263787912382   BvsD
    G00000000109    1.32895814248434    0.000311378914835491    1.30541212379603    0.000308851884560488    EvsF
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Here is my code:

data <- read.table("grid_contrast_1-8.tsv", header=T)
df <- data.frame(data$H.FC, data$N.FC, data$Group)
png("grid_scatter.png")
ggplot(df, aes(data.H.FC, data.N.FC, color = data.H.FC)) + 
  geom_point(size = 0.5) +
  stat_smooth(geom = 'line', alpha = 0.5, se = TRUE, color = "black", level = 0.95) +
  facet_wrap(~ data.Group) +
  labs(x = "H", y = "F") +
  scale_color_gradient(low = "#0091ff", high = "#f0650e")
dev_off()
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Above is what I get: 所有组的散点图网格

我想在回归线周围有置信区间带,如下所示: 例子

由于我没有在 stat_smooth 中指定“se=FALSE”,我应该得到间隔,但不知何故我没有得到它。请问有人可以帮忙吗?

提前谢谢了。

cam*_*lle 5

SE 色带就在那里,只是很小!你有大量的观察结果,它们落在一条非常整齐的线上,所以看起来你的置信区间不是很宽。我改变了一些东西来测试这个。我只抽取了每组 1% 的样本并绘制了该样本,因此置信区间不会那么窄。我还将置信水平提高到 0.999。因为观察较少,所以geom_smooth默认为 LOESS;不确定您是否有平滑线所需的特定参数,但您可能想要更改方法及其参数。

library(tidyverse)
df <- read_tsv("~/Downloads/test_file.tsv") %>%
    select(2, 4, 6) %>%
    setNames(c("data.H.FC", "data.N.FC", "data.Group"))

set.seed(123)
df %>%
    group_by(data.Group) %>%
    sample_frac(0.01) %>%
    ggplot(aes(data.H.FC, data.N.FC, color = data.H.FC)) + 
    geom_point(size = 0.5) +
    stat_smooth(color = "black", size = 0.5, level = 0.999) +
    facet_wrap(~ data.Group) +
    labs(x = "H", y = "F") +
    scale_color_gradient(low = "#0091ff", high = "#f0650e")
#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'
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在拐角处,您现在可以看到 SE 色带。这不是您的代码的问题,只是变得可见的问题。

reprex 包(v0.2.0)于2018年 4 月 6 日创建。