Li Li -
I belive it's a rounding error -- try setting
options(digits=8)
before displaying the output:
summary(fit.Y)
Df Sum Sq Mean Sq F value Pr(>F)
sample.Y 3 2203 734 190706 <2e-16 ***
Residuals 8 0 0
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
summary(fit.Y)
Df Sum Sq Mean Sq F value Pr(>F)
sample.Y 3 2202.70 734.23 190706 < 2.2e-16 ***
Residuals 8 0.03 0.00
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
- Phil Spector
Statistical Computing Facility
Department of Statistics
UC Berkeley
spec...@stat.berkeley.edu
On Tue, 14 Apr 2015, li li wrote:
Hi all,
I have following data. When I perform an anova, the residual sum of
square returns to be zero.
But this is wrong, since we can hand calculate the RSS to be around 0.0308.
Did anyone come across the same problem before? Any suggestions?
Thanks.
Hanna
ydata
Y sample.Y
1 0.477 0.5
2 0.477 0.5
3 0.478 0.5
4 27.320 27
5 27.420 27
6 27.300 27
7 29.440 29
8 29.620 29
9 29.610 29
10 35.840 35
11 35.900 35
12 35.850 35
fit.Y <- aov(Y~sample.Y, data=ydata)
summary(fit.Y)
Df Sum Sq Mean Sq F value Pr(>F)
sample.Y 3 2203 734.2 190706 <2e-16 ***
Residuals 8 0 0.0
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
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