Look at the data structure produced by summary()
names(summary(lm.D9))
[1] "call" "terms" "residuals" "coefficients"
[5] "aliased" "sigma" "df""r.squared"
[9] "adj.r.squared" "fstatistic""cov.unscaled"
Now look at the data structure for the
Hi,
Hi, perhaps this question was answered previously however I could not find
them. My problem is how how to extract a particular statistic from the
result given by lm(). For e.g.
ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14)
trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,
http://finzi.psych.upenn.edu/R/Rhelp08/archive/147713.html
On Feb 28, 2009, at 2:21 PM, Bogaso wrote:
Hi, perhaps this question was answered previously however I could
not find
them. My problem is how how to extract a particular statistic from the
result given by lm(). For e.g.
ctl <- c(4
Hi, perhaps this question was answered previously however I could not find
them. My problem is how how to extract a particular statistic from the
result given by lm(). For e.g.
ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14)
trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69)
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