CODEWITHSUNDEEP
rggplot2dplyr
Patrick Thomas
Patrick Thomas

Reputation: 55

Printing the same Title on a Function

I have the following table:

gene.name = rep(c("MsLHCB1.1", "MsLHCA6", "MsPLGG1-A", "MsRPI3-B", 
                 "MsRPI1-B", "MsPGK1", "MsCFBP1-A", "MsPSBTN", "MsTKL-1", "MsRCA-A", 
                 "MsCRD1-B"),5)
tpi = c(rep(0,11), rep(1,11), rep(7, 11), rep(14, 11), rep(22, 11))
lfc = runif(55, -30, 25)
lfc.df = data.frame(gene.name, tpi, lfc)
names(lfc.df) = c("Gene.Name", "tpi", "LFC")

I want to plot these LFCs over the tpi and create a unique plot for each Gene Name factor. With the help of @ekoam, I was able to develop this funciton:

lfc.plots = function(data, title) {
  ggplot(data) +
  geom_bar(aes(x = tpi, y = LFC), stat = "identity") +
  geom_hline(yintercept = 0, linetype = "dashed", color = "red") +
  labs(title = title) +  
  theme_prism() + 
  theme_bw() +
  theme(axis.ticks.y = element_line(color = "black")) + guides(y = guide_prism_minor()) +
  theme(plot.title = element_text(face = "bold.italic", size = 16, family = "sans", hjust = .5)) + 
  theme(axis.title.x = element_blank()) +
  theme(axis.text.x = element_blank()) +
  theme(axis.title.y = element_text(size = 14)) +
  theme(axis.text.y = element_text(size = 12)) + 
  theme(panel.grid.major = element_blank(),
          panel.grid.minor = element_blank(),
          strip.background = element_blank(),
          strip.text.x = element_text(size = 16, family = "sans", face = "italic"),
          panel.border = element_rect(colour = "black", fill = NA)) + 
  theme(plot.margin = unit(c(0.2,0.5,1.25,0.5), "cm")) +
  ggtitle(title)
}

I then run this code to create a tibble of the ggplots:

result.lfc = lfc.df %>% 
  nest(data = -Gene.Name) %>%
  mutate(plots = lapply(data, lfc.plots, Gene.Name))

While I am able to get a ggplot for each gene name, the ggtitle is the same (the first value in the Gene.Name column) and I cannot seem to get this resolved. Would anybody have any suggestions?

Upvotes: 1

Views: 67

Answers (1)

stefan
stefan

Reputation: 125897

The issue is that using lapply you always pass the vector Gene.Name to your function and only the first element of this vector is used for the title. Hence you end up with same title for all plots. Instead you could achieve your desired result using purrr::map2(data, Gene.Name, lfc.plots) to loop over both the data column and the Gene.Name column.

library(ggplot2)
library(purrr)
library(tidyr)
library(dplyr)

lfc.plots <- function(data, title) {
  ggplot(data) +
    geom_bar(aes(x = tpi, y = LFC), stat = "identity") +
    geom_hline(yintercept = 0, linetype = "dashed", color = "red") +
    labs(title = title) +
    # theme_prism() +
    theme_bw() +
    theme(axis.ticks.y = element_line(color = "black")) +
    # guides(y = guide_prism_minor()) +
    theme(plot.title = element_text(face = "bold.italic", size = 16, family = "sans", hjust = .5)) +
    theme(axis.title.x = element_blank()) +
    theme(axis.text.x = element_blank()) +
    theme(axis.title.y = element_text(size = 14)) +
    theme(axis.text.y = element_text(size = 12)) +
    theme(
      panel.grid.major = element_blank(),
      panel.grid.minor = element_blank(),
      strip.background = element_blank(),
      strip.text.x = element_text(size = 16, family = "sans", face = "italic"),
      panel.border = element_rect(colour = "black", fill = NA)
    ) +
    theme(plot.margin = unit(c(0.2, 0.5, 1.25, 0.5), "cm")) +
    ggtitle(title)
}

result.lfc <- lfc.df %>%
  nest(data = -Gene.Name) %>%
  mutate(plots = purrr::map2(data, Gene.Name, lfc.plots))

result.lfc$plots[[1]]


result.lfc$plots[[3]]

Upvotes: 2

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