(Limma) LmFit and fit object
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Beatriz ▴ 100
@beatriz-1472
Last seen 9.7 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 ...
Microarray Microarray • 1.2k views
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