看一下模型
> summary(left_int3)
Call:
lm(formula = Left ~ Cursor + PostCursor + CTLE + I(Cursor^2) +
I(PostCursor^2), data = QPI)
Residuals:
Min 1Q Median 3Q Max
-3585033 -845980 -58093 718849 4289610
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.455e+07 6.651e+05 21.880 < 2e-16 ***
Cursor 2.299e-06 1.302e-06 1.766 0.07754 .
PostCursor 1.150e-06 2.147e-06 0.536 0.59231
CTLE -4.772e+00 4.548e-01 -10.493 < 2e-16 ***
I(Cursor^2) -2.162e-18 6.854e-19 -3.154 0.00163 **
I(PostCursor^2) -2.775e-19 5.977e-19 -0.464 0.64253
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1175000 on 2794 degrees of freedom
Multiple R-squared: 0.3942, Adjusted R-squared: 0.3932
F-statistic: 363.7 on 5 and 2794 DF, p-value: < 2.2e-16
我想知道有任何关于高帽值的观察，我使用下面的命令，我用0.04作为标准
>hatvalues(left_int3)>0.04
1 2 3 4 5 6 7 8
FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
我用命令获取了True和False的数字：
> hat<-hatvalues(left_int3)>0.04
> summary(hat)
Mode FALSE TRUE NA's
logical 2780 20 0
所以我想知道是否有任何命令知道这些观察的ID号是什么＆＃34; TRUE＆＃34;。