Let\'s say I have this simple data:
 mydata <- data.frame(group=c(\"A\", \"B\", \"0\", \"AB\"), FR=c(20, 32, 32, 16))
If I want to creat
After a lot of trial and error, I have decided plotly works best:
library(plotly)
mydata <- data.frame(group=c("A", "B", "0", "AB"), FR=c(20, 32, 32, 16))
q <- plot_ly(mydata, labels = ~group, values = ~FR, type = 'pie') %>%
  layout(title = "Title",          
         xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
         yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE))
q
This is a png, the original one in Rstudio is interactive when you hover over it.
Why not a square pie chart ?
devtools::install_github("hrbrmstr/waffle")
library(waffle)
mydata <- c(`A`=20, `B`=32, `0`=32, `AB`=16)
waffle(mydata, title = "Yummy waffle pie!")
If you have multiple dimensions of information, another option could be sunburstR. Using browsers data from @rawr post you could do:
library(sunburstR)
library(dplyr)
library(tidyr)
browsers %>%
  unite(bv, browser, version, sep = "-") %>%
  select(bv, share) %>%
  sunburst(., count = TRUE)
You could use treemap (for an interactive version, try @timelyportfolio's d3treeR package) 
library(treemap)
tm <- treemap(
  browsers,
  index=c("browser", "version"),
  vSize="share",
  vColor="share",
  type="value"
)
You could also use a sankey diagram (from the networkD3 package)
library(networkD3)
df <- browsers %>%
  mutate_each(funs(as.character), browser, version) %>%
  mutate(bn = group_indices_(., .dots = "browser"), 
         cn = max(bn) + row_number()) 
links <- select(df, bn, cn, share)
nodes <- data.frame(name = c("", sort(unique(df$browser)), df$version))
sankeyNetwork(Links = links, Nodes = nodes, Source = "bn",
              Target = "cn", Value = "share", NodeID = "name",
              fontSize = 12, nodeWidth = 30)
Some handy tips here:

Source: Dark Horse Analytics: Salvaging the Pie
(srsly tho, what's wrong with a bar chart?)
NOTE: I have no idea what Dark Horse Analytics does. This is just my go-to, anti-pie demo image.
You can try with the pie3D() function from the plotrix package:
library(plotrix)
pie3D(mydata$FR, labels = mydata$group, main = "An exploded 3D pie chart", explode=0.1, radius=.9, labelcex = 1.2,  start=0.7)