[R] help interpreting aov results

[Kamakshaiah]

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