run_Ttest_Paired: Differential Expression Analysis by Paired T test

In HuaZou/MyRtools: Statistic Approaches on Data Analysis

Description

Paired T test is parameter test method, and also use for the data with normal distribution(Gauss Distribution).

Usage

run_Ttest_Paired(dataset=ExpressionSet,
                  trim="none",
                  transform="none",
                  normalize="none",
                  Group_info="Group",
                  Group_name=c("HC", "AA"),
                  Pair_ID="PID",
                  Pvalue=0.05,
                  Log2FC=1)

Arguments

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.
Pair_ID,	Character; (Required) the paired ID.
Pvalue,	Numeric; significant level(default: 0.05).
Log2FC,	Numeric; log2FoldChange(default: 1).
Expression,	ExpressionSet; (Required) ExpressionSet object.

Details

12/31/2021 Guangzhou China

Value

significant difference with enriched directors: * Features * Block * Enrichment * AdjustPvalue * Pvalue * Log2FC * Statistic * Median (All/Groups) * Odds Ratio (95

Author(s)

Hua Zou

Examples

data(ExprSetRawCount)

t_res <- run_Ttest_Paired(dataset=ExprSetRawCount, Group_info="Group", Group_name=c("HC", "AA"), Pair_ID="PID", Pvalue=0.05, Log2FC=1)
t_res$res

HuaZou/MyRtools documentation built on Jan. 6, 2022, 8:56 a.m.