Description Usage Arguments Value Examples
cross_lm uses the variables from two data.frame and run pairwise linear regression, out put the pvalues and fdrs
1 | cross_lm(df1, df2, fdr_method = "BH")
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df1 |
dataframe of ncol values in nrow samples, sample ID as rowname, independent variables (x), will be lm regressed with df2 in a cross way |
df2 |
dataframe of ncol values in nrow samples, sample ID as rowname, dependent variables (y), will be lm regressed with df1 in a cross way |
fdr_method |
default BH, see p.adjust() |
var1, var2, pval, fdr, coef
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | df1 example:
1__100024139 1__100024569 1__100038244 1__100147494 1__100150089
TCGA-A4-8517-01 0 -2 0 0 0
TCGA-F9-A7VF-01 0 NA NA NA 0
TCGA-G7-A8LB-01 NA NA NA -16 0
TCGA-5P-A9K3-01 -4 4 0 NA 0
TCGA-A4-7828-01 0 0 0 56 0
df2 example:
aDC Adipocytes Astrocytes B-cells Basophils
TCGA-V4-A9EE-01 0.05877 1.375e-19 -1.621e-17 0.04805 0.06992
TCGA-VD-AA8N-01 0.11380 3.926e-03 -2.176e-17 0.03549 0.20740
TCGA-V4-A9EI-01 0.04302 3.663e-21 -1.587e-17 0.02253 0.11730
TCGA-VD-AA8O-01 0.08711 -2.367e-21 -2.469e-17 0.03487 0.19780
TCGA-WC-A888-01 0.20790 -5.244e-20 -2.434e-17 0.23040 0.18430
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