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Gregor Thomas
Gregor Thomas
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I found a more simple (to me) answer from this YouTube video which worked really well.

library(ggpubr) ggplot(data,aes(x.plot, y.plot)) +   geom_smooth(method='lm'method = 'lm', se=se = FALSE, formula = y~xy ~ x) +    stat_cor(label.x =30= 30, label.y =130= 130, size =4= 4) +    stat_regline_equation(label.x =30= 30, label.y =150= 150, size =4= 4)

The label.x and label.y just indicate the positions on the x-axis and y-axis where the equation and coefficient should be placed. You can play around with these to fit your graph.

I found a more simple (to me) answer from this YouTube video which worked really well.

library(ggpubr) ggplot(data,aes(x.plot, y.plot)) +   geom_smooth(method='lm', se= FALSE, formula = y~x)+   stat_cor(label.x =30, label.y =130, size =4)+   stat_regline_equation(label.x =30, label.y =150, size =4)

The label.x and label.y just indicate the positions on the x-axis and y-axis where the equation and coefficient should be placed. You can play around with these to fit your graph.

I found a more simple (to me) answer from this YouTube video which worked really well.

library(ggpubr) ggplot(data,aes(x.plot, y.plot)) + geom_smooth(method = 'lm', se = FALSE, formula = y ~ x) +  stat_cor(label.x = 30, label.y = 130, size = 4) +  stat_regline_equation(label.x = 30, label.y = 150, size = 4)

The label.x and label.y just indicate the positions on the x-axis and y-axis where the equation and coefficient should be placed. You can play around with these to fit your graph.

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tdy
tdy
  • 42.1k
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  • 124
  • 125

I found a more simple (to me) answer from this YouTube video which worked really well.

library(ggpubr) ggplot(data,aes(x.plot, y.plot)) + geom_smooth(method='lm', se= FALSE, formula = y~x)+ stat_cor(label.x =30, label.y =130, size =4)+ stat_regline_equation(label.x =30, label.y =150, size =4)

The label.xlabel.x and label.ylabel.y just indicate the positions on the x-axis and y-axis where the equation and coefficient should be placed. You can play around with these to fit your graph.

I found a more simple (to me) answer from this YouTube video which worked really well.

library(ggpubr) ggplot(data,aes(x.plot, y.plot)) + geom_smooth(method='lm', se= FALSE, formula = y~x)+ stat_cor(label.x =30, label.y =130, size =4)+ stat_regline_equation(label.x =30, label.y =150, size =4)

The label.x and label.y just indicate the positions on the x-axis and y-axis where the equation and coefficient should be placed. You can play around with these to fit your graph.

I found a more simple (to me) answer from this YouTube video which worked really well.

library(ggpubr) ggplot(data,aes(x.plot, y.plot)) + geom_smooth(method='lm', se= FALSE, formula = y~x)+ stat_cor(label.x =30, label.y =130, size =4)+ stat_regline_equation(label.x =30, label.y =150, size =4)

The label.x and label.y just indicate the positions on the x-axis and y-axis where the equation and coefficient should be placed. You can play around with these to fit your graph.

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L Tyrone
L Tyrone
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I found a more simple (to me) answer from this youtube video herethis YouTube video which worked really well.

library(ggpubr)

ggplot(data,aes(x.plot, y.plot)) +

geom_smooth(method='lm', se= FALSE, formula = y~x)+

stat_cor(label.x =30, label.y =130, size =4)+

stat_regline_equation(label.x =30, label.y =150, size =4)

library(ggpubr) ggplot(data,aes(x.plot, y.plot)) + geom_smooth(method='lm', se= FALSE, formula = y~x)+ stat_cor(label.x =30, label.y =130, size =4)+ stat_regline_equation(label.x =30, label.y =150, size =4)

theThe label.x and label.y just indicate the positions on the x-axis and y-axis where the equation and coefficient should be placed. youYou can play around with these to fit your graph.

I found a more simple (to me) answer from this youtube video here which worked really well.

library(ggpubr)

ggplot(data,aes(x.plot, y.plot)) +

geom_smooth(method='lm', se= FALSE, formula = y~x)+

stat_cor(label.x =30, label.y =130, size =4)+

stat_regline_equation(label.x =30, label.y =150, size =4)

the label.x and label.y just indicate the positions on the x-axis and y-axis where the equation and coefficient should be placed. you can play around with these to fit your graph

I found a more simple (to me) answer from this YouTube video which worked really well.

library(ggpubr) ggplot(data,aes(x.plot, y.plot)) + geom_smooth(method='lm', se= FALSE, formula = y~x)+ stat_cor(label.x =30, label.y =130, size =4)+ stat_regline_equation(label.x =30, label.y =150, size =4)

The label.x and label.y just indicate the positions on the x-axis and y-axis where the equation and coefficient should be placed. You can play around with these to fit your graph.

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NosiMsomi
NosiMsomi
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  • 5