How to change labels of x axis for factor data

[sai_matcha]

Hi all my data looks like this

myDf = data.frame(SEX = as.factor(c(1,0,0,1,1)))

P <- ggplot(data = myDf, aes(x = SEX, fill = SEX)) +
  geom_bar(stat = "count",show.legend = TRUE) + 
  stat_count(geom = "text", colour = "blue", size = 7,
             aes(label = ..count..),position=position_stack(vjust=0.5)) 
P

when i do this i have got the x axis scale labels as 0 and 1. I want to change 0 to male and 1 to female on x axis, with out changing it in dataframe. Can someone help me with this ?

Thanks

[M_AcostaCH]

You need something like this?

myDf <- data.frame(SEX = as.factor(c(1, 0, 0, 1, 1)))

P <- ggplot(data = myDf, aes(x = SEX, fill = SEX)) +
  geom_bar(stat = "count", show.legend = TRUE) +
  stat_count(geom = "text", colour = "blue", size = 7,
             aes(label = ..count..), position = position_stack(vjust = 0.5))

# Change the x-axis labels
P + scale_x_discrete(labels = c("Male", "Female"))

[sai_matcha]

Thank you very much for your response,
this is not exactly what i wanted

I want code to assisgn "0" to " MALE" and "1" to "FEMALE".

My problem with this code is scale_x_discrete(labels = c("Male", "Female"))

I can assign ("Female",'Male") as well , which will give 0 to female and will be interpreted wrongly.

[M_AcostaCH]

Maybe is well create a new column with a this classification, next make the plot:

myDf <- myDf %>% 
  mutate(GENDER = ifelse(SEX == 0, "Male", "Female"))

# SEX GENDER
# 1   1 Female
# 2   0   Male
# 3   0   Male
# 4   1 Female
# 5   1 Female

[sai_matcha]

This is one possible way, i am looking for the ways to convert in plot itself, with out distrubing the dataframe.

Thank you very much for your timely responses