data_pat: Create random data for test functions

In ZhonghuiGai/gfun: Supporting Functions for Data Analysis by 'ZHGai'

Create random data for test functions

Description

Create random data for test functions

Usage

data_pat(x, group, n, sd, ...)

Arguments

x	the mean value of the variables
group	a character containing the names of group
n	a integer, the numbers of value in each group, used for mean
sd	the sd of mean function, default value is 0.1, which will affect the error bar

Value

a data frame

Author(s)

Zhonghui Gai

Examples

data_pat(x = c(24, 35, 46), group = c("C", "T", "L"))
lst <- list(w1 = c(1, 2, 3, 4), w2 = c(5, 6, 7, 8), w3 = c(9, 10, 11, 12))
data <- data_pat(x = lst, group = c("C", "T", "L", "B"), n = 10, sd = 0.1)
aggregate(. ~ group, data = data, mean)
pat_barplot(data, variable = "w1") +
  ggpub::add_signif(comparisons = list(c("C", "T"), c("T", "L")),
                    y_position = c(3, 4)) +
  ylab(bquote(bold(paste("TNF ",alpha^2," (pg/mL)"))))
pat_point(data, fun = mean_se) + ylab(bquote(As (mu~mol ~CO[2]~ s^-1))) +
  annotate("text", x = c(2, 3), y = c(3, 7), label = c("***", "**"), size = 6) +
theme(legend.position = c(0.5, 0.1))

ZhonghuiGai/gfun documentation built on Feb. 10, 2023, 6:10 p.m.