我希望顯示幾個時間點的雙向 Anova 分析的結果。這是初步資料,我有興趣了解時間和性別對腫瘤負荷的潛在關系。
我的資料:
ID Sex Tumor.Burden Time.Point
Cage3 female 1270800 1
Cage3 female 1237600 2
Cage3 female 1288760 3
Cage3 female 775220 4
Cage4 female 1768400 1
Cage4 female 1630200 2
Cage4 female 1606900 3
Cage4 female 1134220 4
Cage5 male 1441500 1
Cage5 male 3000750 2
Cage5 male 5930500 3
Cage5 male 6944225 4
Cage6 male 2063640 1
Cage6 male 7067600 2
Cage6 male 10460400 3
Cage6 male 18764800 4
這是我正在使用的情節。我想指出,這不是用我剛剛列出的資料制作的,而是用類似的資料制作的。但是,我計劃在這里使用相同的方法。
ggplot(Data, aes(x = Time.Point, y = Tumor.Burden, color = Sex))
geom_line()
theme_minimal()
labs(title = "Weekly Follow-up of Tumor-Bearing Mice", x = "Time points (weeks)", y="Log(Tumor Burden)")
theme(plot.title = element_text(size = 10, hjust = 0.5))

將上述每個時間點的重要性添加到圖上相應時間點的最佳方法是什么?IE 在時間點 1:5 時,男性和女性之間是否存在統計上的顯著差異?
目前,我正在關注:https ://www.datanovia.com/en/lessons/repeated-measures-anova-in-r/#two-way-repeated-measures-anova 。但是,最后我收到一個錯誤,這似乎與我的 ID 變數在我運行時被標記為 NA 有關
Data %>%
group_by(Time.Point) %>%
anova_test(dv = Tumor.Burden, wid = ID, within = Sex)
謝謝!
uj5u.com熱心網友回復:
要計算 p 值,您可以使用anova_test(Tumor.Burden ~ Sex)并在 a 中使用這些輸出 p 值以geom_text在您的圖中顯示它們,如下所示:
library(ggplot2)
library(ggpubr)
library(rstatix)
library(dplyr)
p_values <- Data %>%
group_by(Time.Point) %>%
anova_test(Tumor.Burden ~ Sex)
#> Coefficient covariances computed by hccm()
#> Coefficient covariances computed by hccm()
#> Coefficient covariances computed by hccm()
#> Coefficient covariances computed by hccm()
p_values
#> # A tibble: 4 × 8
#> Time.Point Effect DFn DFd F p `p<.05` ges
#> * <int> <chr> <dbl> <dbl> <dbl> <dbl> <chr> <dbl>
#> 1 1 Sex 1 2 0.342 0.618 "" 0.146
#> 2 2 Sex 1 2 3.11 0.22 "" 0.608
#> 3 3 Sex 1 2 8.83 0.097 "" 0.815
#> 4 4 Sex 1 2 4.05 0.182 "" 0.669
ggplot()
geom_line(Data, mapping = aes(x = Time.Point, y = Tumor.Burden, color = Sex))
geom_text(data = p_values, mapping = aes(x = Time.Point, y = 15000000, label = p), size = 3)
theme_minimal()
labs(title = "Weekly Follow-up of Tumor-Bearing Mice", x = "Time points (weeks)", y="Log(Tumor Burden)")
theme(plot.title = element_text(size = 10, hjust = 0.5))

創建于 2022-11-16,使用reprex v2.0.2
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標籤:r图表2ggpubr
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