如何解决stat_poly_eq 中的 Gamma(log)
我在让 stat_poly_eq 在我的绘图中打印正确的公式时遇到了一些麻烦。我目前的情节绘制如下。
ggplot(DataSB,aes(x=Year,y=Kilos))+
geom_point(shape=21,size=3,color="black",fill="#E29578") +
geom_smooth(method = "glm",method.args=list(family=Gamma(link = "log")),se=T,size=2,color="#E29578") +
labs(x= "",y = "Catch per average trip (Kg)",title = "(a) Small benthics")+
stat_poly_eq(formula = y ~ x,aes(label = paste(..eq.label..,..rr.label..,sep = "~~~")),parse = TRUE,color = "black")
如您所见，我使用 gamma(log) 分布对我的数据进行建模。我还在 glm 函数中使用了相同的分析，它为我提供了两个系数，glm 的输出：
glm(formula = Kilos ~ Year,family = Gamma(link = "log"),data = DataSB)
Deviance Residuals:
Min 1Q Median 3Q Max
-4.4636 -0.9370 -0.3679 0.3633 2.1094
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 31.081487 9.571677 3.247 0.00149 **
Year -0.012418 0.004771 -2.603 0.01035 *
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
(dispersion parameter for Gamma family taken to be 0.903844)
Null deviance: 199.67 on 128 degrees of freedom
Residual deviance: 193.40 on 127 degrees of freedom
AIC: 1853.4
Number of Fisher Scoring iterations: 6
现在为了使用这些系数，我意识到我需要将它们放入以下公式中：
exp(b+a*x) #So:
exp(31.081487-0.012418*x)
我正在努力解决的问题是如何让 stat_poly_eq 打印这个公式。我已经尝试了几乎所有的公式组合，但没有什么是完全正确的，stat_poly_eq 甚至可以打印这个吗？如果没有，是否有一个函数可以，包括 R 平方？ 数据：
Num Reference Order Group Individuals Kilos Size TotalCatch Year
1 A001 01 Small Benthic 500.00 125.00 15 670.0000 2021
11 A002 01 Small Benthic 500.00 300.00 25 1381.0000 2021
21 A003 01 Small Benthic 500.00 60.00 16 5742.0000 2021
31 A004 01 Small Benthic 800.00 230.00 18 1535.0000 2021
41 A005 01 Small Benthic 225.00 111.00 18 3192.0000 2021
61 A008 01 Small Benthic 500.00 1200.00 18 4983.5000 2008
71 A009 01 Small Benthic 20.00 60.00 21 121.0000 2021
81 A010 01 Small Benthic 3600.00 600.00 17 4008.0000 2021
91 A011 01 Small Benthic 450.00 135.00 23 272.0000 2021
101 A012 01 Small Benthic 2100.00 350.00 26 2080.0000 2021
111 A013 01 Small Benthic 5.00 3.00 27 140.0000 2020
121 A014 01 Small Benthic 5000.00 2000.00 18 2135.0500 2017
131 A015 01 Small Benthic 1500.00 700.00 32 1483.0000 2021
141 A016 01 Small Benthic 1600.00 600.00 27 1993.0000 2021
151 A017 01 Small Benthic 120.00 80.00 26 626.0000 2021
161 A018 01 Small Benthic 0.00 0.01 <NA> 31.0000 2021
181 A020 01 Small Benthic 100.00 120.00 20 5210.0000 2021
191 A021 01 Small Benthic 2400.00 1800.00 35 7441.0000 2021
201 A022 01 Small Benthic 4000.00 800.00 35 7085.0000 2021
211 A023 01 Small Benthic 0.00 0.01 <NA> 2268.0000 2021
221 A024 01 Small Benthic 300.00 121.00 25 4152.0000 2021
231 A025 01 Small Benthic 1000.00 600.00 33 3697.0000 2021
241 A026 01 Small Benthic 300.00 131.00 28 2522.0000 2021
251 A027 01 Small Benthic 100.00 60.00 25 315.0000 2021
271 A029 01 Small Benthic 1000.00 520.00 27 2511.0000 2021
281 F001 01 Small Benthic 155.00 35.00 35 2855.5000 2006
291 F002 01 Small Benthic 50.00 10.00 17.5 270.0000 2021
301 F003 01 Small Benthic 0.46 14.00 40 145.5000 2021
311 F004 01 Small Benthic 75.00 15.00 28.5 829.2917 2021
331 L001 01 Small Benthic 1450.00 1000.00 41 4371.0000 2021
341 L002 01 Small Benthic 1500.00 800.00 63 2915.0000 2021
351 L003 01 Small Benthic 200.00 70.00 29 945.0000 2021
361 L004 01 Small Benthic 1040.00 1000.00 37 4329.5000 2021
371 L005 01 Small Benthic 1000.00 500.00 22 2024.0000 2021
381 L006 01 Small Benthic 2700.00 450.00 40 1470.0000 2021
391 L007 01 Small Benthic 1500.00 300.00 27 1048.0000 2012
401 L008 01 Small Benthic 900.00 400.00 30 2664.0000 2021
411 L009 01 Small Benthic 1000.00 200.00 24 5935.0000 2021
421 L010 01 Small Benthic 1500.00 1000.00 28 4375.0000 2021
431 L011 01 Small Benthic 1300.00 260.00 25 3343.0000 2021
441 L012 01 Small Benthic 500.00 100.00 28 2369.0000 2021
451 L013 01 Small Benthic 400.00 67.00 26 716.0000 2021
461 L014 01 Small Benthic 3000.00 500.00 28 1500.0000 2021
471 L015 01 Small Benthic 1000.00 200.00 20 1657.0000 2021
481 L016 01 Small Benthic 3540.00 590.00 20 3930.0000 2021
491 L017 01 Small Benthic 4000.00 800.00 22 2619.0000 2021
501 L018 01 Small Benthic 2530.00 422.00 30 7897.0000 2021
511 L019 01 Small Benthic 455.00 76.00 23 2018.0000 2021
521 L020 01 Small Benthic 3000.00 500.00 23 4037.0000 2010
531 L021 01 Small Benthic 6300.00 1260.00 27 5709.0000 2021
541 L022 01 Small Benthic 450.00 90.00 26 1188.0000 2016
551 L023 01 Small Benthic 478.00 120.00 24 526.0000 2021
561 L024 01 Small Benthic 2100.00 350.00 20 2171.0000 2021
571 L025 01 Small Benthic 812.00 163.00 25 891.0000 2021
581 L026 01 Small Benthic 6000.00 1050.00 20 8748.0000 2021
591 L027 01 Small Benthic 4500.00 900.00 23 8197.0000 2021
601 L028 01 Small Benthic 2380.00 476.00 21 3621.0000 2012
611 L029 01 Small Benthic 1172.00 235.00 23 8493.0000 2021
621 L030 01 Small Benthic 780.00 130.00 15 4268.0000 2021
631 L031 01 Small Benthic 3500.00 700.00 20 1842.0000 2021
641 L032 01 Small Benthic 400.00 134.00 22 2304.0000 2021
651 L033 01 Small Benthic 1275.00 260.00 25 1244.0000 2021
661 L034 01 Small Benthic 1200.00 240.00 20 2211.0000 2002
671 L035 01 Small Benthic 1700.00 283.00 24 3023.0000 2005
681 L036 01 Small Benthic 2750.00 458.00 20 2798.0000 2021
701 L037 01 Small Benthic 1100.00 183.00 20 2645.0000 2021
711 L038 01 Small Benthic 1090.00 182.00 25 540.0000 2021
721 L039 01 Small Benthic 1300.00 217.00 19 1212.0000 2021
731 L040 01 Small Benthic 1250.00 210.00 19 1853.0000 2021
741 A001 01 Small Benthic 3050.00 762.50 22 1312.5000 1993
751 A002 01 Small Benthic 800.00 500.00 31 4528.0000 2011
761 A003 01 Small Benthic 1000.00 400.00 23 6165.0000 2001
771 A004 01 Small Benthic 1500.00 400.00 23 9650.0000 1993
791 A007 01 Small Benthic 500.00 2500.00 25 3886.0000 1972
811 A009 01 Small Benthic 200.00 400.00 21 594.0000 2014
831 A011 01 Small Benthic 750.00 225.00 28 1100.0000 1994
841 A012 01 Small Benthic 2000.00 500.00 26 2595.0000 1984
851 A013 01 Small Benthic 5.00 3.00 27 140.0000 2002
861 A014 01 Small Benthic 5000.00 2000.00 18 2135.0500 1987
871 A015 01 Small Benthic 2500.00 875.00 41 3033.0000 1996
881 A016 01 Small Benthic 1600.00 600.00 27 1993.0000 2014
891 A017 01 Small Benthic 120.00 80.00 26 626.0000 2006
901 A018 01 Small Benthic 0.00 0.01 <NA> 32.0000 1991
981 A026 01 Small Benthic 900.00 320.00 28 8025.0000 1991
991 A027 01 Small Benthic 400.00 200.00 25 957.0000 1993
1011 A029 01 Small Benthic 1800.00 800.00 27 2935.0000 2011
1021 F001 01 Small Benthic 155.00 35.00 35 2949.5000 2000
1031 F002 01 Small Benthic 20.00 2.00 17.5 130.0000 2006
1041 F003 01 Small Benthic 1.50 45.00 60 408.0000 1973
1051 F004 01 Small Benthic 75.00 15.00 28.5 328.4931 1982
1071 L001 01 Small Benthic 1450.00 1000.00 41 4880.0000 1996
1081 L002 01 Small Benthic 1500.00 800.00 63 3035.0000 2010
1091 L003 01 Small Benthic 200.00 70.00 29 982.0000 2015
1101 L004 01 Small Benthic 1040.00 1000.00 37 4802.5000 2011
1111 L005 01 Small Benthic 1000.00 500.00 22 2024.0000 1986
1121 L006 01 Small Benthic 2700.00 450.00 40 1930.0000 2002
1131 L007 01 Small Benthic 2000.00 350.00 27 1188.0000 1985
1141 L008 01 Small Benthic 2000.00 900.00 30 4630.0000 2000
1151 L009 01 Small Benthic 2000.00 400.00 33 5372.0000 1996
1161 L010 01 Small Benthic 4400.00 2000.00 28 6170.0000 1993
1171 L011 01 Small Benthic 1795.00 445.00 27 6136.0000 1999
1181 L012 01 Small Benthic 3600.00 720.00 28 2791.0000 1971
1191 L013 01 Small Benthic 2432.00 405.00 34 2939.0000 2009
1201 L014 01 Small Benthic 2260.00 377.00 28 2263.0000 1991
1211 L015 01 Small Benthic 1650.00 330.00 24 4977.0000 1983
1221 L016 01 Small Benthic 640.00 107.00 20 4758.0000 1988
1231 L017 01 Small Benthic 3750.00 750.00 28 3356.0000 1981
1251 L019 01 Small Benthic 2750.00 458.00 23 2952.0000 1996
1261 L020 01 Small Benthic 3500.00 583.00 40 4756.0000 1993
1271 L021 01 Small Benthic 6600.00 1320.00 27 9607.0000 1997
1281 L022 01 Small Benthic 1350.00 270.00 26 2035.0000 1970
1291 L023 01 Small Benthic 608.00 152.00 24 1362.0000 2003
1301 L024 01 Small Benthic 6443.00 1074.00 22 3063.0000 1999
1311 L025 01 Small Benthic 1209.00 242.00 31 1298.0000 1983
1321 L026 01 Small Benthic 12500.00 2083.00 20 4793.0000 1978
1331 L027 01 Small Benthic 4320.00 864.00 21 5456.0000 1986
1341 L028 01 Small Benthic 3780.00 756.00 32 8515.0000 1960
1351 L029 01 Small Benthic 4810.00 962.00 25 4044.0000 1979
1361 L030 01 Small Benthic 1740.00 290.00 25 2953.0000 2001
1371 L031 01 Small Benthic 6650.00 1330.00 24 4273.0000 1980
1381 L032 01 Small Benthic 700.00 233.00 22 8991.0000 1986
1391 L033 01 Small Benthic 2750.00 550.00 25 2706.0000 1984
1401 L034 01 Small Benthic 1900.00 380.00 28 3438.0000 1962
1411 L035 01 Small Benthic 3090.00 515.00 24 5297.0000 1963
1421 L036 01 Small Benthic 3230.00 538.00 23 4420.0000 1965```
解决方法
由于您不与我们共享数据，我将仅向您说明如何解决它。
- (1)
..eq.label..是一个常规字符，因此您可以对其应用strsplit和其他字符串操作。您可以编写自己的函数来消耗..eq.label..并返回正确的方程。 - (2) 另一个效率不高的想法是评估 glm 模型两次并粘贴正确的字符串方程，而不是使用
..eq.label..。 - 最后 (3) 个解决方案，使用
ggplot2::ggplot_build：
# generate artificial data
library(ggplot2)
library(ggpmisc)
#> Loading required package: ggpp
#>
#> Attaching package: 'ggpp'
#> The following object is masked from 'package:ggplot2':
#>
#> annotate
set.seed(4321)
x <- 1:100
y <- (x + x^2 + x^3) + rnorm(length(x),mean = 0,sd = mean(x^3) / 4)
my.data <- data.frame(x = x,y = y,group = c("A","B"),y2 = y * c(0.5,2),w = sqrt(x))
# give a name to a formula
formula <- y ~ poly(x,3,raw = TRUE)
# no weights
gg <- ggplot(my.data,aes(x,y)) +
geom_point() +
geom_smooth(method = "lm",formula = formula) +
stat_poly_eq(formula = y ~ x,aes(label = paste(..eq.label..,..rr.label..,sep = "~~~")),parse = TRUE,color = "black")
gg_raw <- ggplot_build(gg)
process_label <- function(x) gsub("~~~",")~~~",gsub(")~`=`~",")~`=`~exp(",x))
gg_raw$data[[3]]$label <- process_label(gg_raw$data[[3]]$label)
gtable <- ggplot_gtable(gg_raw)
cowplot::plot_grid(gtable)
由 reprex package (v2.0.0) 于 2021 年 7 月 16 日创建
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