pv_plot: Plot p against v and colour by q

Description Usage Arguments Details Value Examples

View source: R/plot_functions.R

Description

Plot p against v and colour by q

Usage

1
pv_plot(p, q, v, axis_lim = c(0, 1))

Arguments

p

p values for principal trait (vector of length n)

q

auxiliary data values (vector of length n)

v

v values from cFDR

axis_lim

Optional axis limits

Details

Can be used to visualise the results from Flexible cFDR

Value

ggplot object

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
 # this is a long running example
 
# In this example, we generate some p-values (representing GWAS p-values)
# and some arbitrary auxiliary data values (e.g. representing functional genomic data).
# We use the flexible_cfdr() function to generate v-values and then the pv_plot() function
# to visualise the results.

# generate p
set.seed(1)
n <- 1000
n1p <- 50 
zp <- c(rnorm(n1p, sd=5), rnorm(n-n1p, sd=1))
p <- 2*pnorm(-abs(zp))

# generate q
mixture_comp1 <- function(x) rnorm(x, mean = -0.5, sd = 0.5)
mixture_comp2 <- function(x) rnorm(x, mean = 2, sd = 1)
q <- c(mixture_comp1(n1p), mixture_comp2(n-n1p))

n_indep <- n

res <- flexible_cfdr(p, q, indep_index = 1:n_indep)

pv_plot(p = res[[1]]$p, q = res[[1]]$q, v = res[[1]]$v)

annahutch/fcfdr documentation built on Feb. 12, 2022, 6:49 a.m.