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## ----setup, include=FALSE-----------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.width = 6,
fig.height = 4,
fig.align = "center"
)
## ----load---------------------------------------------------------------------
library(fdth)
## ----fdt-basic----------------------------------------------------------------
set.seed(42)
x <- rnorm(200,
mean = 10,
sd = 2)
ft <- fdt(x)
ft
## ----fdt-breaks---------------------------------------------------------------
# Sturges (default)
fdt(x, breaks = "Sturges")
# Scott
fdt(x, breaks = "Scott")
# Freedman-Diaconis
fdt(x, breaks = "FD")
# Fixed number of classes
fdt(x, k = 8)
## ----fdt-custom---------------------------------------------------------------
# Fixed start, end and width
ft2 <- fdt(x,
start = 4,
end = 16,
h = 2)
ft2
## ----fdt-format---------------------------------------------------------------
# Two decimal places
print(ft,
format.classes = TRUE,
pattern = "%.2f")
# Summary with the same formatting
summary(ft,
format.classes = TRUE,
pattern = "%.2f")
## ----fdt-right----------------------------------------------------------------
fdt(x, right = TRUE)
## ----fdt-na-------------------------------------------------------------------
x_na <- c(x,
NA,
NA)
# This errors by design:
tryCatch(fdt(x_na), error = function(e) message("Error: ", e$message))
# Remove NAs explicitly:
fdt(x_na, na.rm = TRUE)
## ----plot-fh-fp, fig.show="hold", out.width="48%"-----------------------------
plot(ft,
type = "fh",
main = "Frequency histogram")
plot(ft,
type = "fp",
main = "Frequency polygon")
## ----plot-rf, fig.show="hold", out.width="48%"--------------------------------
plot(ft,
type = "rfh",
main = "Relative frequency histogram")
plot(ft,
type = "rfph",
main = "Relative frequency (%) histogram")
## ----plot-density-------------------------------------------------------------
plot(ft,
type = "d",
main = "Density histogram")
## ----plot-cf, fig.show="hold", out.width="48%"--------------------------------
plot(ft,
type = "cfp",
main = "Cumulative frequency polygon")
plot(ft,
type = "cfpp",
main = "Cumulative frequency (%) polygon")
## ----plot-labels--------------------------------------------------------------
plot(ft,
type = "fh",
v = TRUE,
v.round = 0,
main = "Histogram with counts")
## ----stats--------------------------------------------------------------------
ft3 <- fdt(x)
mean(ft3)
median(ft3)
mfv(ft3) # mode(s)
var(ft3)
sd(ft3)
# Quartiles (default)
quantile(ft3)
# Deciles
quantile(ft3,
i = 1:9,
probs = seq(0,
1,
0.1))
## ----fdt-df-------------------------------------------------------------------
ft_iris <- fdt(iris[, 1:4])
ft_iris
## ----fdt-by-------------------------------------------------------------------
ft_by <- fdt(iris[, c(1, 2, 5)],
k = 5,
by = "Species")
ft_by
## ----plot-multiple, fig.width=8, fig.height=6---------------------------------
plot(ft_iris, type = "fh")
## ----stats-multiple-----------------------------------------------------------
mean(ft_iris)
## ----fdt-cat-basic------------------------------------------------------------
set.seed(7)
fruits <- sample(c("apple",
"banana",
"cherry",
"strawberry",
"melon"),
size = 150,
replace = TRUE)
ft_cat <- fdt_cat(fruits)
ft_cat
## ----fdt-cat-nosort-----------------------------------------------------------
fdt_cat(fruits, sort = FALSE)
## ----fdt-cat-format-----------------------------------------------------------
print(ft_cat, round = 3)
## ----plot-cat-bar-------------------------------------------------------------
plot(ft_cat,
type = "fb",
main = "Frequency bar chart")
## ----plot-cat-dotchart--------------------------------------------------------
plot(ft_cat,
type = "fd",
main = "Frequency dotchart")
## ----plot-cat-pareto----------------------------------------------------------
plot(ft_cat,
type = "pa",
main = "Pareto chart")
## ----make-fdt-----------------------------------------------------------------
# Numerical
ft_ref <- fdt(x)
ft_new <- make.fdt(f = ft_ref$table$f,
start = ft_ref$breaks["start"],
end = ft_ref$breaks["end"])
print(ft_new,
format.classes = TRUE,
pattern = "%.2f")
## ----make-fdt-cat-------------------------------------------------------------
# Categorical
ft_new_cat <- make.fdt_cat(f = ft_cat$f,
categories = ft_cat$Category)
ft_new_cat
## ----xtable-ref, eval=FALSE---------------------------------------------------
# vignette("latex_fdt", package = "fdth")
## ----session------------------------------------------------------------------
sessionInfo()
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