The function gg_Marker_Bar() creates marker plots with
your myY and myG GWAS input files.
Load data
Note:
header = T
# Load genotype file (note: header = T)
myG <- read.csv("gwaspr_myG_hmp.csv", header = T)
# Load phenotype file
myY <- read.csv("gwaspr_myY.csv")
# Convert our nominal trait from numeric to factor.
myY <- myY %>%
mutate(Cotyledon_Color = mv(Cotyledon_RedvsYellow, c(1, 0, NA), c("Red", "Yellow", "Green")),
Cotyledon_Color = factor(Cotyledon_Color, levels = c("Red", "Yellow", "Green")))
myY[1:10,]## Name DTF_Sask_2017 DTF_Nepal_2017 Cotyledon_RedvsYellow
## 1 CDC_Asterix_AGL 54.7 128.0 0
## 2 CDC_Rosie_AGL 59.0 123.3 1
## 3 X3156.11_AGL 60.7 125.3 1
## 4 CDC_Greenstar_AGL 56.7 121.0 0
## 5 CDC_Cherie_AGL 54.3 125.3 1
## 6 CDC_Glamis_AGL 59.0 123.0 0
## 7 CDC_Gold_AGL 54.0 125.3 0
## 8 CDC_Imax_AGL 53.0 128.7 1
## 9 CDC_Impower_AGL 57.0 123.3 0
## 10 CDC_KR.1_AGL 57.0 121.7 1
## Cotyledon_Color
## 1 Yellow
## 2 Red
## 3 Red
## 4 Yellow
## 5 Red
## 6 Yellow
## 7 Yellow
## 8 Red
## 9 Yellow
## 10 Red
Single marker, single trait
Specifying traits and markers along with
your genotype and phenotype data as xG and xY
is needed to create marker plots.
# Plot
mp <- gg_Marker_Bar(
# Genotype data
xG = myG,
# Phenotype data
xY = myY,
# Select traits to plot
traits = "DTF_Sask_2017",
# Select markers to plot
markers = "Lcu.1GRN.Chr6p3269280" )
# Save
ggsave("figures/gg_Marker_Bar_01.png",
mp, width = 6, height = 4 )
All options
gg_Marker_Bar() contains a number of different options
for customizing the marker plots.
# Prep data
markers <- c("Lcu.1GRN.Chr6p3269280")
# Plot
mp <- gg_Marker_Bar(
xG = myG,
xY = myY,
traits = "DTF_Sask_2017",
markers = markers,
marker.colors = gwaspr_Colors,
remove.hets = T,
remove.N = T,
plot.histogram = T,
plot.density = T,
plot.counts = T,
ncol = NULL,
line.color = F,
title = NULL,
subtitle = paste(markers, collapse = "\n"),
asfactor = F)
# Save
ggsave("figures/gg_Marker_Bar_02.png",
mp, width = 6, height = 4 )
Multiple markers, multiple traits
# Plot
mp <- gg_Marker_Bar(
# Genotype data
xG = myG,
# Phenotype data
xY = myY,
# Select traits to plot
traits = c("DTF_Nepal_2017", "DTF_Sask_2017"),
# Select markers to plot
markers = c("Lcu.1GRN.Chr2p44545877", "Lcu.1GRN.Chr5p1658484") )
# Save
ggsave("figures/gg_Marker_Bar_03.png",
mp, width = 8, height = 4 )
Histogram
# Plot
mp <- gg_Marker_Bar(
# Genotype data
xG = myG,
# Phenotype data
xY = myY,
# Select traits to plot
traits = "DTF_Sask_2017",
# Select markers to plot
markers = "Lcu.1GRN.Chr6p3269280",
# Select marker colors
marker.colors = c("darkorange3", "steelblue", "darkblue"),
# Choose what should be plotted
plot.histogram = T,
plot.density = F )
# Save
ggsave("figures/gg_Marker_Bar_04.png",
mp, width = 6, height = 4 )
Density
# Plot
mp <- gg_Marker_Bar(
# Genotype data
xG = myG,
# Phenotype data
xY = myY,
# Select traits to plot
traits = "DTF_Sask_2017",
# Select markers to plot
markers = "Lcu.1GRN.Chr6p3269280",
# Select marker colors
marker.colors = c("darkorange3", "steelblue", "darkblue"),
# Choose what should be plotted
plot.histogram = F,
plot.density = T )
# Save
ggsave("figures/gg_Marker_Bar_05.png",
mp, width = 6, height = 4)
Factor data
Numeric format
# Plot
mp <- gg_Marker_Bar(
# Genotype data
xG = myG,
# Phenotype data
xY = myY,
# Select traits to plot
traits = "Cotyledon_RedvsYellow",
# Select markers to plot
markers = "Lcu.1GRN.Chr1p365986872",
# Select marker colors
marker.colors = c("darkorange3", "steelblue", "darkblue"),
# Choose what should be plotted
plot.histogram = T,
plot.density = F )
# Save
ggsave("figures/gg_Marker_Bar_06.png",
mp, width = 6, height = 4 )
Factor format
# Plot
mp <- gg_Marker_Bar(
# Genotype data
xG = myG,
# Phenotype data
xY = myY,
# Select traits to plot
traits = "Cotyledon_Color",
# Select markers to plot
markers = "Lcu.1GRN.Chr1p365986872",
# Select marker colors
marker.colors = c("darkorange3", "steelblue", "darkblue"),
# Choose what should be plotted
plot.histogram = T,
plot.density = F )
# Save
ggsave("figures/gg_Marker_Bar_07.png",
mp, width = 6, height = 4 )