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I tried abline function to create a linear regression line on a scatterplot.
x= c (1.0325477, 0.6746901, 1.0845737, 1.1123872, 1.1060822, 0.8595918, 0.8512941, 1.0148842, 1.0722369, 0.9019220 , 0.8809147, 1.0358256, 0.9903858, 1.0715174 , 1.1034405, 1.0143966,0.9802365, 0.7177169 , 0.9190783, 0.8408701 )
y= c (0.8550177, 0.8352162 ,1.0236998, 1.1071665, 0.6768144, 0.8449983 ,0.7616483, 0.8259199, 1.1539598, 1.4125006, 1.0511816, 0.9366184, 1.4101268, 1.2937913, 1.4147219 ,1.2943105 ,0.7859749, 0.6689330, 0.6940164, 0.8093392)
plot(x,y)
abline(lm(y ~ x))
Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...) :
plot.new has not been called yet
Any suggestions please
826
If there is a regression line on a scatter diagram, you can identify outliers. An outlier for a scatter diagram is the point or points that are farthest from the regression line.
To add a regression line, choose "Add Chart Element" from the "Chart Design" menu. In the dialog box, select "Trendline" and then "Linear Trendline". To add the R2 value, select "More Trendline Options" from the "Trendline menu. Lastly, select "Display R-squared value on chart".
The basic method of performing a linear regression in R is to the use the lm() function. To see the parameter estimates alone, you can just call the lm() function.
Works fine for me too as for the rest. Try to close and re-open R.
If still problematic, can try:
# put x and y in a data frame
dat<-data.frame(x=x,y=y)
attach(dat)
plot(x,y)
abline(lm(y ~ x))
plot(x~y)
abline(lm(x~y))
should fix that code. On MacOs it makes it work.
38
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