hmmmbob - 3 months ago 20

R Question

doing an online course and i was given the following task:

`load("skew.RData")`

Using QQ-plots, compare the distribution of each column of the matrix to a normal. That is, use qqnorm() on each column. To accomplish this quickly, you can use the following line of code to set up a grid for 3x3=9 plots. ("mfrow" means we want a multifigure grid filled in row-by-row. Another choice is mfcol.)

`par(mfrow = c(3,3))`

Then you can use a for loop, to loop through the columns, and display one qqnorm() plot at a time. You should replace the text between ** with your own code.

`for (i in 1:9) {`

**put your qqnorm call here**

}

i have as a file calld dat, something with 9 columns and around 1000 rows.

Can somone give me a hint how the QQ-plot command could look like?

Answer

compare the distribution of each column of the matrix to a normal

Suppose your matrix is `dat`

after reading in your data file, you want

```
load("skew.RData") ## read in matrix `dat`
dat <- scale(dat) ## standardization
par(mfrow = c(3, 3))
for (i in 1:9) {
qqnorm(dat[, i], main = paste0(i, "-th column"))
qqline(dat[, i])
}
```

Source (Stackoverflow)

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