radiant.data (version 0.6.0)

explore: Explore data

Description

Explore data

Usage

explore(dataset, vars = "", byvar = "", fun = c("mean_rm", "sd_rm"), top = "fun", tabfilt = "", tabsort = "", nr = NULL, data_filter = "", shiny = FALSE)

Arguments

dataset

Dataset name (string). This can be a dataframe in the global environment or an element in an r_data list from Radiant

vars

(Numerical) variables to summaries

byvar

Variable(s) to group data by before summarizing

fun

Functions to use for summarizing

top

The variable (type) to display at the top of the table

tabfilt

Expression used to filter the table. This should be a string (e.g., "Total > 10000")

tabsort

Expression used to sort the table (e.g., "-Total")

nr

Number of rows to display

data_filter

Expression entered in, e.g., Data > View to filter the dataset in Radiant. The expression should be a string (e.g., "price > 10000")

shiny

Logical (TRUE, FALSE) to indicate if the function call originate inside a shiny app

Value

A list of all variables defined in the function as an object of class explore

Details

See http://radiant-rstats.github.io/docs/data/explore.html for an example in Radiant

See Also

summary.explore to show summaries

Examples

result <- explore("diamonds", "price:x")
summary(result)
result <- explore("diamonds", c("price","carat"), byvar = "cut", fun = c("n_missing", "skew"))
summary(result)
diamonds %>% explore("price", byvar = "cut", fun = c("length", "n_distinct"))