## ----cache = FALSE, include=FALSE---------------------------------------------
knitr::opts_chunk$set(collapse = T, comment = "#>", 
                      fig.width = 6, fig.height = 4, fig.align = "center")

## -----------------------------------------------------------------------------
library(quantities)

iris.q <- iris
for (i in 1:4)
  quantities(iris.q[,i]) <- list("cm", iris.q[,i] * 0.02)
head(iris.q)

## ----eval=FALSE---------------------------------------------------------------
# rownames(installed.packages(priority="base"))

## ----echo=FALSE---------------------------------------------------------------
print(c("base", "compiler", "datasets", "graphics", "grDevices", "grid", "methods", "parallel", "splines", "stats", "stats4", "tcltk", "tools", "utils"))

## -----------------------------------------------------------------------------
iris.q[which(iris.q$Sepal.Length > set_quantities(75, mm)), ]
subset(iris.q, Sepal.Length > set_quantities(75, mm))

## -----------------------------------------------------------------------------
iris.q$Sepal.Length[1:5]
sort(iris.q$Sepal.Length[1:5])

## -----------------------------------------------------------------------------
head(iris.q[order(iris.q$Sepal.Length), ])

## -----------------------------------------------------------------------------
head(within(iris.q, {
  Sepal.Area <- Sepal.Length * Sepal.Width
  Petal.Area <- Petal.Length * Petal.Width
  rm(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width)
}))

## -----------------------------------------------------------------------------
tapply(iris.q$Sepal.Length, iris.q$Species, mean)

## -----------------------------------------------------------------------------
(sepal.length.agg <- 
   tapply(iris.q$Sepal.Length, iris.q$Species, mean, simplify=FALSE))

## -----------------------------------------------------------------------------
# drops quantities
unlist(sepal.length.agg)

# preserves quantities
do.call(c, sepal.length.agg)

## -----------------------------------------------------------------------------
(iris.q.agg <- aggregate(. ~ Species, data = iris.q, mean, simplify=FALSE))

## -----------------------------------------------------------------------------
class(iris.q.agg$Sepal.Length)

## -----------------------------------------------------------------------------
unlist_quantities <- function(x) {
  stopifnot(is.list(x) || is.data.frame(x))
  
  unlist <- function(x) {
    if (any(class(x[[1]]) %in% c("quantities", "units", "errors")))
      do.call(c, x)
    else x
  }
  
  if (is.data.frame(x))
    as.data.frame(lapply(x, unlist), col.names=colnames(x))
  else unlist(x)
}

unlist_quantities(iris.q.agg)

## -----------------------------------------------------------------------------
unlist_quantities(sepal.length.agg)

## -----------------------------------------------------------------------------
height <- data.frame(
  Height = set_quantities(c(55, 60, 45), cm, c(45, 30, 35)),
  Species = c("setosa", "virginica", "versicolor")
)

head(merge(iris.q, height))

## -----------------------------------------------------------------------------
long.1 <- reshape(iris.q, varying=1:4, timevar="dim", idvar="dim.id", direction="long")
head(long.1)

## -----------------------------------------------------------------------------
names(long.1)[3:4] <- paste0("value.", names(long.1)[3:4])
long.2 <- reshape(long.1, varying=3:4, timevar="part", idvar="part.id", direction="long")
head(long.2)

## -----------------------------------------------------------------------------
wide.1 <- reshape(long.2, v.names="value", timevar="part", idvar="part.id", direction="wide")
head(wide.1)

## -----------------------------------------------------------------------------
names(wide.1)[5:6] <- sub("value\\.", "", names(wide.1)[5:6])
wide.2 <- reshape(wide.1, v.names=c("Sepal", "Petal"), timevar="dim", idvar="dim.id", direction="wide")
wide.2$dim.id <- NULL
wide.2$part.id <- NULL
head(wide.2)

## -----------------------------------------------------------------------------
all(sapply(colnames(iris.q), function(col) all(iris.q[[col]] == wide.2[[col]])))

## ----cache = FALSE, include=FALSE---------------------------------------------
required <- c(
  packageVersion("errors") >= "0.3.6.1",
  packageVersion("units") >= "0.8-0"
)

if (!all(required))
  knitr::opts_chunk$set(eval = FALSE)

## -----------------------------------------------------------------------------
# vector plots
with(iris.q, plot(Sepal.Width, col=Species))

## ----eval=FALSE---------------------------------------------------------------
# # x-y plots
# with(iris.q, plot(Sepal.Length, Sepal.Width, col=Species))
# # dataframe plots
# plot(iris.q[, c("Sepal.Length", "Sepal.Width")], col=iris.q$Species)

## -----------------------------------------------------------------------------
plot(Sepal.Width ~ Sepal.Length, iris.q, col=Species)

## -----------------------------------------------------------------------------
plot(as.numeric(Sepal.Width) ~ Sepal.Length, iris.q, col=Species)

## -----------------------------------------------------------------------------
plot(Sepal.Width ~ as.numeric(Sepal.Length), iris.q, col=Species)

## -----------------------------------------------------------------------------
plot(Sepal.Width ~ set_quantities(as.numeric(Sepal.Length), 1, 0), iris.q, col=Species)

## ----cache = FALSE, include=FALSE---------------------------------------------
required <- c("dplyr", "tidyr")

knitr::opts_chunk$set(eval = TRUE)
if (!all(sapply(required, requireNamespace, quietly = TRUE)))
  knitr::opts_chunk$set(eval = FALSE)

## ----message=FALSE, warning=FALSE---------------------------------------------
library(dplyr); packageVersion("dplyr")
library(tidyr); packageVersion("tidyr")

## -----------------------------------------------------------------------------
iris.q <- as_tibble(iris.q)
head(iris.q)

## -----------------------------------------------------------------------------
iris.q %>%
  filter(Sepal.Length > set_quantities(75, mm)) %>%
  head()

## -----------------------------------------------------------------------------
iris.q %>%
  arrange(Sepal.Length) %>%
  head()

## -----------------------------------------------------------------------------
iris.q %>%
  transmute(
    Species = Species,
    Petal.Area = Petal.Length * Petal.Width,
    Sepal.Area = Sepal.Length * Sepal.Width
  ) %>%
  head()

## -----------------------------------------------------------------------------
iris.q %>%
  group_by(Species) %>%
  summarise_all(mean)

## -----------------------------------------------------------------------------
iris.q %>%
  left_join(data.frame(
    Height = set_quantities(c(55, 60, 45), cm, c(45, 30, 35)),
    Species = c("setosa", "virginica", "versicolor")
  )) %>%
  head()

## -----------------------------------------------------------------------------
iris.q %>%
  pivot_longer(1:4) %>%
  separate(name, c("part", "dim")) %>%
  head()

## -----------------------------------------------------------------------------
iris %>%
  # first gather, with row numbers as row_id
  mutate(row_id = 1:n()) %>%
  pivot_longer(1:4) %>%
  # assign quantities
  mutate(value = set_quantities(value, cm, value * 0.05)) %>%
  # now spread and remove the row_id
  pivot_wider() %>%
  select(-row_id) %>%
  head()

## ----cache = FALSE, include=FALSE---------------------------------------------
required <- c(
  packageVersion("errors") >= "0.3.6.1",
  packageVersion("units") >= "0.8-0"
)

if (!all(required))
  knitr::opts_chunk$set(eval = FALSE)

## ----message=FALSE, warning=FALSE---------------------------------------------
library(ggplot2); packageVersion("ggplot2")

## -----------------------------------------------------------------------------
p0 <- ggplot(iris.q) + aes(Sepal.Length, Sepal.Width, color=Species) +
  geom_point()
p0

## -----------------------------------------------------------------------------
p0 + geom_errors()

## -----------------------------------------------------------------------------
p0 + geom_errors(aes(x=drop_errors(Sepal.Length)))

## -----------------------------------------------------------------------------
p0 + geom_errors() + scale_x_units(unit="mm") + scale_y_units(unit="m")