Dear Friends,
I had performed anova test on certain data frame (Health Care
Management) and got results [summary(aov)]. I am new to R and also
some extent to Statistics. Can somebody help me how should I interpret
these figures. I feel difficulty in interpreting values and respective
rows and columns.
The following is the result to which I request interpretation:
> anova.stress$effects
(Intercept) heavy.drinking perceived.health
life.satisfaction
-127.7707327310 66.6366413568 58.0918782595
-6.9519755523 -0.7947641734
6.6881854290 13.3244486754 12.0570313711
14.1251305762 6.9407880977
7.7357329414 12.0627416985 -11.0900101005
1.2013513103 0.5663285592
For example if I am to talk about the very first value
-127.7707327310; what is this value is all about? and how it is
significant with respect to column headings. What is the last column?
> anova.stress$qr
$qr
(Intercept) heavy.drinking perceived.health
life.satisfaction
1 -3.8729833462 -122.69732336064 -208.29402114263 -523.79543588447
2 0.2581988897 103.70798417437 82.62779609135 202.14890930300
3 0.2581988897 0.20254726362 71.69122174008 185.07374705668
4 0.2581988897 -0.65720148871 0.21700481702 7.77881765537
5 0.2581988897 -0.35155751874 0.49658862352 0.16955330300
6 0.2581988897 -0.01705521136 0.07303486380 0.13797897217
7 0.2581988897 -0.11154070424 -0.09755282025 0.28674472780
8 0.2581988897 -0.01186602555 0.26925236164 -0.12042327743
9 0.2581988897 0.18891427276 -0.01418690772 0.42333040781
10 0.2581988897 -0.34383207690 -0.59291615659 -0.25206212540
11 0.2581988897 -0.18887930130 0.11689140713 -0.58071444279
12 0.2581988897 0.13363607942 -0.35718909148 0.34481294660
13 0.2581988897 0.19904444749 -0.30629424692 -0.18166608573
14 0.2581988897 0.21462454012 0.09912429448 0.02910278133
15 0.2581988897 0.27300895524 -0.05280046529 -0.19460726218
I some how got idea (after studying) about QR, but here how should I
interpret these values?
$qraux
[1] 1.258198890 1.151445509 1.139760525 1.291373419
What are these values and how should I interpret them?
> anova.stress$rank
[1] 4
what does it mean rank 4?
How can I know R and R square?
Apart from the above 1) how can I interpret fitted and residuals? Can
I put the plot and show these values referring respective points in
the graph?
I request somebody to help interpret the above things?
Regards
M. Kamakshaiah
Assistant Professor, SCDL, Pune, India
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