Displaying 3 results from an estimated 3 matches for "adjres".
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addres
2005 Sep 12
3
Covert list of list to dataframe for export or outputting by(test) output
...1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2)), .Label =
c("Acenaphthene",
"Cadmium, Total"), class = "factor"), AdjRes = c(0.03, 0.24,
0.0082, 0.29, 0.01, 0.19, 0.2, 0.22, 0.0032, 0.32, 0.09,
0.3, 0.0061, 0.0037, 0.38, 0.2, 0.36, 0.09, 0.77, 0.2, 0.19,
0.2, 0.18, 0.6, 0.32, 0.34, 1.5, 1.2, 0.21, 0.21, 0.01, 0.2,
0.32, 0.2, 0.19, 0.02, 0.26, 0.37, 0.18, 1.3, 0.0088, 4.78,
0.0033, 0.32, 2.1, 0.19,...
2005 Jun 17
2
adjusted R^2 vs. ordinary R^2
I thought the point of adjusting the R^2 for degrees of
freedom is to allow comparisons about goodness of fit between
similar models with different numbers of data points. Someone
has suggested to me off-list that this might not be the case.
Is an ADJUSTED R^2 for a four-parameter, five-point model
reliably comparable to the adjusted R^2 of a four-parameter,
100-point model? If such values
2007 Dec 19
0
leaps
Thank you very much for the example. I think interactively I could get
something.
But my obstacle is to write an R script that processes my set of data
automatically.
My difficulty is to extract the information that appears on the screen, when
R is operated interactively, from a scripts.
Let me go over some steps to make sure I am doing things right.
Assume my data have been read into the matrix