DeltaIV - 1 year ago 80

R Question

test data frame:

`> foo`

x y z

1 0.191 0.324 0.620

2 0.229 0.302 0.648

3 0.191 0.351 0.626

4 0.229 0.324 0.630

5 0.152 0.374 0.656

6 0.191 0.295 0.609

7 0.229 0.267 0.665

8 0.152 0.353 0.657

9 0.152 0.355 0.655

Two linear models:

`model1 <- lm(z~polym(x,y,degree = 1),data=foo)`

model2 <- lm(z~polym(x,y,degree = 2),data=foo)

ANOVA for the two models returns:

`> anova(model1,model2)`

Analysis of Variance Table

Model 1: z ~ polym(x, y, degree = 1)

Model 2: z ~ polym(x, y, degree = 2)

Res.Df RSS Df Sum of Sq F Pr(>F)

1 6 0.002988

2 3 0.000169 3 0.00282 16.6 0.023 *

---

Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Why the single

`*`

`.`

Answer Source

There is nothing wrong.

```
0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
```

means:

```
annotation p-value significance level
*** [0, 0.001] 0.001
** (0.001, 0.01] 0.01
* (0.01, 0.05] 0.05
. (0.05, 0.1] 0.1
(0.1, 1] 1
```

0.023 is within `(0.01, 0.05]`

, so it should be annotated by `*`

.