Entering edit mode
Beatriz
▴
100
@beatriz-1472
Last seen 10.2 years ago
Hello to everybody!
I want to know everything about Linear Models.
I have read "limma: Linear Models for Microarray Data User's Guide"
and
"Bioinformatics and Computational Biology Solutions Using R and
Bioconductor" but I'd like more "basic" information about this,
because
my statistical knowledge is... poor (I'm sorry).
I'm calculating the standard deviation and another statistical
parameters with basic functions in R (like sd) because I don't know
the
meaning of each fit "parameter" ($stdev.unscaled, $sigma, $lods...). I
have read something about them in R help but I don't know how to
interpret it
Any book or webpage?
could anybody explain it me?
thank you
BEATRIZ
***********************************************
> fit2
An object of class "MArrayLM"
$coefficients
1007_s_at 1053_at 117_at 121_at 1255_g_at
0.06480576 -0.05789401 0.24983909 0.10716122 0.04500985
54670 more elements ...
$stdev.unscaled
1007_s_at 1053_at 117_at 121_at 1255_g_at
0.4472136 0.4472136 0.4472136 0.4472136 0.4472136
54670 more elements ...
$sigma
[1] 0.2250619 0.3603931 0.4365034 0.5544353 0.1156594
54670 more elements ...
$df.residual
[1] 4 4 4 4 4
54670 more elements ...
$cov.coefficients
[,1]
[1,] 0.2
$pivot
[1] 1
$method
[1] "ls"
$design
Vertical
55T_56T 1
20T_19T 1
40T_11T 1
26T_10T 1
25T_13T 1
$Amean
1007_s_at 1053_at 117_at 121_at 1255_g_at
9.074874 5.801200 5.357923 7.232856 3.274542
54670 more elements ...
$df.prior
[1] 1.930101
$s2.prior
[1] 0.06249642
$var.prior
[1] 0.2326472
$proportion
[1] 0.01
$s2.post
[1] 0.05450763 0.10795045 0.14886179 0.22768891 0.02936421
54670 more elements ...
$t
1007_s_at 1053_at 117_at 121_at 1255_g_at
0.6206831 -0.3940092 1.4479507 0.5021711 0.5873317
54670 more elements ...
$p.value
1007_s_at 1053_at 117_at 121_at 1255_g_at
0.5578930 0.7073516 0.1983561 0.6336441 0.5786410
54670 more elements ...
$lods
[1] -4.865354 -4.933060 -4.456481 -4.904074 -4.876949
54670 more elements ...
$F
[1] 0.3852475 0.1552433 2.0965613 0.2521758 0.3449585
54670 more elements ...
$F.p.value
1007_s_at 1053_at 117_at 121_at 1255_g_at
0.5578930 0.7073516 0.1983561 0.6336441 0.5786410
54670 more rows ...