Package 'datacult'

Bar chart with horizontal bar and data label.

Description

Axis-x has the frequency and data label has the percent value.

Usage

bar_chart(
  data,
  variable,
  axis_title = "",
  fill = "blue",
  axis_title_axis_size = 22,
  axis_text_axis_size = 22,
  data_label_size = 15,
  sort = TRUE
)

Arguments

data	a dataframe object
variable	variable name
axis_title	axis y label. Defaults to "".
fill	bar color. Character scale with hexidecimal color ou named color. Defaults to "blue".
axis_title_axis_size	integer scalar. Size of axis labels. Defaults to 22.
axis_text_axis_size	integer scalar. Size of values annotated in axis. Defaults to 22.
data_label_size	integer scalar. Size of data labels. Defaults to 15
sort	logical scalar. If TRUE, the are ordered using frequency. Defaults to TRUE.

Value

a ggplot2 object

Examples

df <- data.frame(var = sample(c("A", "B"),
 size = 100, replace = TRUE))
bar_chart(df, var)

---

Bar chart with frequency and data label with percent.

Description

This function builds a bar chart with ggplot2 for a field with checkbox (user can select 2 or more options). Each option is one separated column.

Usage

bar_chart_checkbox(
  data,
  columns,
  sucess = "checked",
  labels = NULL,
  axis_title = "",
  fill = "blue",
  axis_title_axis_size = 22,
  axis_text_axis_size = 22,
  data_label_size = 15,
  sort = TRUE
)

Arguments

data	dataframe object
columns	character vector. Columns to count.
sucess	character scalar. Category indicating the sucess. Defaults to "checked".
labels	character vector.Label of each category. Defaults to NULL.
axis_title	axis y label. Defaults to "".
fill	bar color. Character scale with hexidecimal color ou named color. Defaults to "blue".
axis_title_axis_size	integer scalar. Size of axis labels. Defaults to 22.
axis_text_axis_size	integer scalar. Size of values annotated in axis. Defaults to 22.
data_label_size	integer scalar. Size of data labels. Defaults to 15
sort	logical scalar. If TRUE, the are ordered using frequency. Defaults to TRUE.

Value

a ggplot2 object

Examples

df <- data.frame(
 x1 = c("checked", "checked", "unchecked"),
 x2 = c("checked", "unchecked", "checked")
)
bar_chart_checkbox(df, c("x1", "x2"))

---

Number of missing values in a vector.

Description

Number of missing values in a vector.

Usage

n_missing(x)

Arguments

x	an atomic vector

Value

returns a integer scalar

Examples

n_missing(c(1, NA, 3))

---

Nnumber of non missing values in a vector.

Description

Nnumber of non missing values in a vector.

Usage

n_no_missing(x)

Arguments

x	an atomic vector

Value

scalar integer

Examples

n_no_missing(c(1, NA, 3))

---

Frequency for Checkbox Fields.

Description

Each category (or option) is a variable in the dataframe, and we count the number of sucess in each column. The column percent is the ratio between this count by the observation number.

Usage

tab_freq_checkbox(
  data,
  columns,
  sucess = "checked",
  labels = NULL,
  variable_name = NULL
)

Arguments

data	dataframe object
columns	character vector. Columns to count.
sucess	character scalar. Category indicating the sucess. Defaults to "checked".
labels	character vector.Label of each category. Defaults to NULL.
variable_name	character scalar. Name of field in the form. Defaults to NULL.

Details

Missing values are ignored.

Value

return a dataframe with n and percent

Examples

data <- data.frame(
  x1 = c("checked", "checked", "unchecked"),
  x2 = c("checked", "unchecked", "checked")
)
tab_freq_checkbox(data, c("x1", "x2"))

---

Generate a frequency table to a continuous variable.

Description

Bin the continuous variable, and count the occurrence of each interval.

Usage

tab_freq_cont(
  data,
  variable,
  breaks = NULL,
  labels = NULL,
  include_lowest = TRUE,
  right = FALSE
)

Arguments

data	dataframe object
variable	variable name as character
breaks	either a integer number or vector of number. Defaults to NULL
labels	label for each interval. Defaults to interval names using brackes and parentheses. Defaults to NULL.
include_lowest	logical value. If TRUE, the lower limit of interval belongs to the bin. Defaults to TRUE.
right	logical value. If TRUE, the upper limit of interval belongs to the bin. Defaults to FALSE.

Details

if breaks = NULL, then ceiling(1 + log2(n)), where n is the sample size.

Value

a dataframe with distribution frequency

Examples

tab_freq_cont(iris, "Sepal.Width")

---