I intend to draw a qq plot on the data, but it reminds me that qqnorm function only works on numerical data.
As the factor include A,B,C,D and their two, three and four way interaction, I have no idea how to convert it into numerical form.
The data is as follows:
Effects,Value
A,76.95
B,-67.52
C,-7.84
D,-18.73
AB,-51.32
AC,11.69
AD,9.78
BC,20.78
BD,14.74
CD,1.27
ABC,-2.82
ABD,-6.5
ACD,10.2
BCD,-7.98
ABCD,-6.25
My code is as follows:
library(readr)
data621 <- read_csv("Desktop/data621.csv")
data621_qq<-qqnorm(data621,xlab = "effects",datax = T)
qqline(data621,probs=c(0.3,0.7),datax = T)
text(data621_qq$x,data621_qq$y,names(data621),pos=4)
Your code would work if using the proper columns instead of the entire data frame. For example,
data621_qq <- qqnorm(data621$Value, xlab = "Effects", datax = TRUE)
qqline(data621$Value, probs = c(0.3, 0.7), datax = TRUE)
text(data621_qq$x, data621_qq$y, data621$Effects, pos=4)
By the way, names(data621)
would give you the column names, instead of the effect names (which are stored as values in a column).
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