Change Main title font size and position

Hello,

How i can change the main title position and font size. I tried but it is not working somehow.
Here is code:

ggplot(dat, aes(modality, value, fill=interaction(variable))) +
geom_bar(stat='identity', position='dodge') +
ggtitle("A: General OEQ") + theme(plot.title = element_text(size = 12), (hjust = 0.5)) +
theme_bw() + theme(axis.text.x = element_text(angle=90, hjust=1, size = 10, face = "bold")) +
scale_fill_brewer('Open-end', palette='RdPu') + theme(legend.position = c(.51, .80)) +
theme(legend.title=element_blank()) +
xlab("") + ylab("Frequency") + theme(panel.border = element_blank()) +
theme(axis.line = element_line(colour = "black")) +
theme(legend.key.size = unit(1.0, "cm"), legend.key.width = unit(0.5,"cm"),
legend.key.height = unit(0.5,"cm")) +
theme(legend.text = element_text(size = 7))

squads <- tibble::tribble(
                   ~test, ~first_res, ~second_res, ~third_res,
            "Appearance",       201L,         72L,        54L,
                 "Aroma",         8L,         17L,        17L,
                "Flavor",       107L,        148L,       177L,
               "Texture",       151L,        225L,       220L
            )
head (squads)
#> # A tibble: 4 x 4
#>   test       first_res second_res third_res
#>   <chr>          <int>      <int>     <int>
#> 1 Appearance       201         72        54
#> 2 Aroma              8         17        17
#> 3 Flavor           107        148       177
#> 4 Texture          151        225       220

Created on 2021-02-05 by the reprex package (v0.3.0)

Where do you use the dataset squads in the code?

@williaml Here is a full code:

library(ggplot2)
library(reprex)
library(tidyverse)
library(reshape2)
#> 
#> Attaching package: 'reshape2'
#> The following object is masked from 'package:tidyr':
#> 
#>     smiths
library(data.table)
#> 
#> Attaching package: 'data.table'
#> The following objects are masked from 'package:reshape2':
#> 
#>     dcast, melt
#> The following objects are masked from 'package:dplyr':
#> 
#>     between, first, last
#> The following object is masked from 'package:purrr':
#> 
#>     transpose
library(scales)
#> 
#> Attaching package: 'scales'
#> The following object is masked from 'package:purrr':
#> 
#>     discard
#> The following object is masked from 'package:readr':
#> 
#>     col_factor

#Help from R-community
df <- read.csv("F:/open_end_frequency_response.csv")
dt<- structure(list(modality = structure(c(1L, 2L, 3L, 5L, 4L), .Label = c("Appearance", 
                                                                           "Aroma", "Flavor", "Abstract", "Texture"), class = "factor"), 
                    First_response = c(201L, 8L, 107L, 151L, 282L), 
                    Second_response = c(72L,  17L, 148L, 225L, 260L),
                    Third_response = c(54L, 17L, 177L,  220L, 360L),
                    Fourth_response = c(46L, 24L, 168L, 198L, 356L ),
                    Fifth_response = c(39L, 13L, 122L, 150L, 402L), 
                    Frequency = c(749L, 722L, 828L, 792L, 726L)), class = "data.frame", 
               row.names = c(NA,-5L))
dt1<-data.table(dt)[,.SD/Frequency,by=c("Frequency","modality"),.SDcols=2:6]
dat <- melt(dt1,id.vars = c("Frequency","modality"),variable.name = "Response", value.name = "Percentage",variable.factor=TRUE)
dat[,ggplot(.SD,aes(x = Response, y = Percentage, fill = modality)) +
      geom_col(position = "dodge") + 
      geom_text(aes(label = scales::percent(Percentage, accuracy = 0.1)),
                position = position_dodge(width=0.9), vjust = -0.25) +
      labs(x = NULL, y = "Percentage") +
      scale_y_continuous(labels = scales::label_percent()) +
      scale_fill_brewer('Variables', palette='Spectral') +
      theme_bw() + 
      theme(legend.title = element_blank(),
            legend.position = c(.3, .95),
            legend.direction = "horizontal"),]


#another method
df <- read.csv("F:/open_end_frequency_response.csv")
colnames(df)[1] = "modality"
colnames(df)[2] = "First_response"
colnames(df)[3] = "Second_response"
colnames(df)[4] = "Third_response"
colnames(df)[5] = "Fourth_response"
colnames(df)[6] = "Fifth_response"
dput(df)
#> structure(list(modality = c("Appearance", "Aroma", "Flavor", 
#> "Texture", "Abstract"), First_response = c(201L, 8L, 107L, 151L, 
#> 282L), Second_response = c(72L, 17L, 148L, 225L, 260L), Third_response = c(54L, 
#> 17L, 177L, 220L, 360L), Fourth_response = c(46L, 24L, 168L, 198L, 
#> 356L), Fifth_response = c(39L, 13L, 122L, 150L, 402L), Frequency = c(412L, 
#> 79L, 722L, 944L, 1660L)), class = "data.frame", row.names = c(NA, 
#> -5L))
colnames(df) <- c("modality","First_response","Second_response","Third_response",
"Fourth_response", "Fifth_response", "Frequency")
ggplot(df, aes(x = modality))+
         geom_bar()

#Help from R-community
df2 <- select(df, -Frequency)

dat <- melt(df2)
#> Warning in melt(df2): The melt generic in data.table has been passed a
#> data.frame and will attempt to redirect to the relevant reshape2 method;
#> please note that reshape2 is deprecated, and this redirection is now
#> deprecated as well. To continue using melt methods from reshape2 while both
#> libraries are attached, e.g. melt.list, you can prepend the namespace like
#> reshape2::melt(df2). In the next version, this warning will become an error.
#> Using modality as id variables
#Using modality as id variables

ggplot(dat, aes(modality, value, fill=interaction(variable))) +
  geom_bar(stat='identity', position='dodge') +
  ggtitle("A: General OEQ") + 
  theme_bw() + theme(axis.text.x = element_text(angle=90, hjust=1, size = 10, face = "bold")) +
  scale_fill_brewer('Open-end', palette='RdPu') +  theme(legend.position = c(.51, .80)) +
  theme(legend.title=element_blank()) +
  xlab("") + ylab("Frequency") + theme(panel.border = element_blank()) + 
  theme(axis.line = element_line(colour = "black")) + 
  theme(legend.key.size = unit(1.0, "cm"), legend.key.width = unit(0.5,"cm"),
        legend.key.height = unit(0.5,"cm")) + 
  theme(legend.text = element_text(size = 7))

Created on 2021-02-05 by the reprex package (v0.3.0)