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在qqnorm圖中添加一條直線

2022-05-01 00:36:13 區塊鏈

我有以下代碼：

IDRTlme <- lme(Score ~ Group   Condition   Group*Condition, random = ~ 1|ID, data = IDRTnew)

然后我輸入以下內容以顯示 qq-plot 以檢查正常性：

qqnorm(IDRTlme)

這給出了輸出：

在 qqnorm 圖中添加一條直線

如何在這個 qqplot 上添加一條直線對角線？

我嘗試了其他人建議的其他代碼行，但這些代碼行不通:(

如果有人能幫我一把，我將不勝感激！

最小的可重現示例：

structure(list(ID = c("1993", "1993", "1993", "1993", "1993", 
"1993", "1997", "1997", "1997", "1997", "1997", "1997", "19998", 
"19998", "19998", "19998", "19998", "19998", "3122", "3122", 
"3122", "3122", "3122", "3122", "3152", "3152", "3152", "3152", 
"3152", "3152", "330", "330", "330", "330", "330", "330", "354", 
"354", "354", "354", "354", "354", "363", "363", "363", "363", 
"363", "363", "369", "369", "369", "369", "369", "369", "370", 
"370", "370", "370", "370", "370", "375", "375", "375", "375", 
"375", "375", "377", "377", "377", "377", "377", "377", "378", 
"378", "378", "378", "378", "378", "379", "379", "379", "379", 
"379", "379", "380", "380", "380", "380", "380", "380", "381", 
"381", "381", "381", "381", "381", "3862", "3862", "3862", "3862", 
"3862", "3862", "3872", "3872", "3872", "3872", "3872", "3872", 
"388", "388", "388", "388", "388", "388", "390", "390", "390", 
"390", "390", "390", "392", "392", "392", "392", "392", "392", 
"393", "393", "393", "393", "393", "393", "394", "394", "394", 
"394", "394", "394", "395", "395", "395", "395", "395", "395", 
"399", "399", "399", "399", "399", "399", "5512", "5512", "5512", 
"5512", "5512", "5512", "382", "382", "382", "382", "382", "382", 
"1001", "1001", "1001", "1001", "1001", "1001", "1002", "1002", 
"1002", "1002", "1002", "1002", "1003", "1003", "1003", "1003", 
"1003", "1003", "1004", "1004", "1004", "1004", "1004", "1004", 
"1005", "1005", "1005", "1005", "1005", "1005", "1006", "1006", 
"1006", "1006", "1006", "1006", "1007", "1007", "1007", "1007", 
"1007", "1007", "1008", "1008", "1008", "1008", "1008", "1008", 
"1009", "1009", "1009", "1009", "1009", "1009", "1012", "1012", 
"1012", "1012", "1012", "1012", "1013", "1013", "1013", "1013", 
"1013", "1013", "1014", "1014", "1014", "1014", "1014", "1014", 
"1015", "1015", "1015", "1015", "1015", "1015", "1016", "1016", 
"1016", "1016", "1016", "1016", "1017", "1017", "1017", "1017", 
"1017", "1017", "1020", "1020", "1020", "1020", "1020", "1020", 
"1021", "1021", "1021", "1021", "1021", "1021", "1024", "1024", 
"1024", "1024", "1024", "1024", "1025", "1025", "1025", "1025", 
"1025", "1025", "1026", "1026", "1026", "1026", "1026", "1026", 
"1027", "1027", "1027", "1027", "1027", "1027", "1192", "1192", 
"1192", "1192", "1192", "1192", "1422", "1422", "1422", "1422", 
"1422", "1422", "1492", "1492", "1492", "1492", "1492", "1492", 
"1592", "1592", "1592", "1592", "1592", "1592", "1602", "1602", 
"1602", "1602", "1602", "1602", "1642", "1642", "1642", "1642", 
"1642", "1642", "171", "171", "171", "171", "171", "171", "1722", 
"1722", "1722", "1722", "1722", "1722", "1732", "1732", "1732", 
"1732", "1732", "1732", "174", "174", "174", "174", "174", "174", 
"175", "175", "175", "175", "175", "175", "1752", "1752", "1752", 
"1752", "1752", "1752", "1762", "1762", "1762", "1762", "1762", 
"1762", "1782", "1782", "1782", "1782", "1782", "1782", "1802", 
"1802", "1802", "1802", "1802", "1802", "182", "182", "182", 
"182", "182", "182", "184", "184", "184", "184", "184", "184", 
"1852", "1852", "1852", "1852", "1852", "1852", "186", "186", 
"186", "186", "186", "186", "187", "187", "187", "187", "187", 
"187", "188", "188", "188", "188", "188", "188", "1892", "1892", 
"1892", "1892", "1892", "1892", "190", "190", "190", "190", "190", 
"190", "192", "192", "192", "192", "192", "192", "1924", "1924", 
"1924", "1924", "1924", "1924", "193", "193", "193", "193", "193", 
"193", "195", "195", "195", "195", "195", "195", "196", "196", 
"196", "196", "196", "196", "197", "197", "197", "197", "197", 
"197", "1992", "1992", "1992", "1992", "1992", "1992", "19922", 
"19922", "19922", "19922", "19922", "19922", "1999", "1999", 
"1999", "1999", "1999", "1999", "19992", "19992", "19992", "19992", 
"19992", "19992", "199945", "199945", "199945", "199945", "199945", 
"199945", "199949", "199949", "199949", "199949", "199949", "199949", 
"199951", "199951", "199951", "199951", "199951", "199951", "199952", 
"199952", "199952", "199952", "199952", "199952", "19922", "19922", 
"19922", "19922", "19922", "19922", "490", "490", "490", "490", 
"490", "490", "181", "181", "181", "181", "181", "181", "3812", 
"3812", "3812", "3812", "3812", "3812", "199950", "199950", "199950", 
"199950", "199950", "199950", "191", "191", "191", "191", "191", 
"191"), Condition = c("neutral", "neutral_social", "no_money", 
"positive_social", "selfharm", "win_money", "neutral", "neutral_social", 
"no_money", "positive_social", "selfharm", "win_money", "neutral", 
"neutral_social", "no_money", "positive_social", "selfharm", 
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0.282264646352941, 0.265302954272727, 0.258647063117647, 0.2565000355, 
0.254529392058824, 0.232392856107143, 0.22980002155, 0.245047626047619, 
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0.281524956225, 0.265363541636364, 0.229149919825, 0.2269999161875, 
0.214912963956522, 0.22574996955, 0.213696906212121, 0.221666583407407, 
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0.271035696714286, 0.279705889, 0.276954639909091, 0.285567663756757, 
0.278821510928571, 0.288344901206897, 0.21375000475, 0.270428637085714
), Group = c("HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", 
"HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", 
"HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", 
"HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", 
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"HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", 
"HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", "HC", 
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"SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", 
"SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", 
"SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", 
"SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", 
"SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", 
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"SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", 
"SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", 
"SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", 
"SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", 
"SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", 
"SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", 
"SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", 
"SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", 
"SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", 
"SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", 
"SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", 
"SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", 
"SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH", "SH")), row.names = c(NA, 
-546L), class = c("tbl_df", "tbl", "data.frame"))

uj5u.com熱心網友回復：

您可以abline在qqnorm函式中添加一個。您可以使用以下代碼：

library(nlme)
IDRTlme <- lme(Score ~ Group   Condition   Group*Condition, random = ~ 1|ID, data = IDRTnew)
qqnorm(IDRTlme, abline = c(0, 1))

輸出：

在 qqnorm 圖中添加一條直線

轉載請註明出處，本文鏈接：https://www.uj5u.com/qukuanlian/468515.html

標籤：r 数据框 统计数据 tidyverse 正常化

上一篇：資料框列：查找（累積）區域最大值

下一篇：R：重新排列資料框中行的順序

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