Description Usage Arguments Details Value Author(s) Examples
View source: R/DA_T_Wilcox_Test.R
The data of features maybe either non-normal distribution or normal distribution(Gauss Distribution). shapiro.test is used to check the distribution. T-test is for normal distribution, while Wilcox-rank-sum test is for non-normal distribution. The log2FoldChange is calculate by the geometricmean or median of two groups after a linear scale (Zscore).
1 2 3 4 5 6 7 8 | run_Wilcox(dataset=ExpressionSet,
trim="none",
transform="none",
normalize="none",
Group_info="Group",
Group_name=c("HC", "AA"),
Pvalue=0.05,
Log2FC=1)
|
trim, |
Character; filter to apply.(default: trim="none"). |
transform, |
Character; transformation to apply.(default: tranform="none"). |
normalize, |
Character; normalization to apply.(default: normalize="none"). |
Group_info, |
Character; design factor(default: "Group"). |
Group_name, |
Character; (Required) the group for comparison. |
Pvalue, |
Numeric; significant level(default: 0.05). |
Log2FC, |
Numeric; log2FoldChange(default: 1). |
Expression, |
ExpressionSet; (Required) ExpressionSet object. |
12/3/2021 Guangzhou China
significant difference with enriched directors
Hua Zou
1 2 3 4 | data(ExprSetRawRB)
TWilcox_res <- run_TWilcox(dataset=ExprSetRawRB, Group_info="Group", Group_name=c("HC", "AA"), Pvalue=0.05, Log2FC=1)
TWilcox_res$res
|
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