coord_plot: Coordinate plot
In funModeling: Exploratory Data Analysis and Data Preparation Tool-Box

Description Usage Arguments Value Examples

Calculate the means (or other function defined in 'group_func' parameter) per group to analyze how each segment behave. It scales each variable mean inti the 0 to 1 range to easily profile the groups according to its mean. It also calculate the mean regardless the grouping. This function is also useful when you want to profile cluster results in terms of its means.

1	coord_plot(data, group_var, group_func = mean, print_table = FALSE)

`data`	input data source
`group_var`	variable to make the group by
`group_func`	the data type of this parameter is a function, not an string, this is the function to be used in the group by, the default value is: mean
`print_table`	False by default, if true it retrieves the mean table used to generate the plot.

coordinate plot, if print_table=T it also prints a table with the average per column plus the average of the whole column

## Not run: 
# calculating the differences based on function 'mean'
coord_plot(data=mtcars, group_var="cyl")
# printing the table used to generate the coord_plot
coord_plot(data=mtcars, group_var="cyl", print_table=TRUE)
# printing the table used to generate the coord_plot
coord_plot(data=mtcars, group_var="cyl", group_func=median, print_table=TRUE)

## End(Not run)

Loading required package: Hmisc
Loading required package: lattice
Loading required package: survival
Loading required package: Formula
Loading required package: ggplot2

Attaching package: 'Hmisc'

The following objects are masked from 'package:base':

    format.pval, round.POSIXt, trunc.POSIXt, units

sh: 1: cannot create /dev/null: Permission denied
funModeling v.1.6.5 :)
Examples and tutorials at livebook.datascienceheroes.com

`summarise_each()` is deprecated.
Use `summarise_all()`, `summarise_at()` or `summarise_if()` instead.
To map `funs` over a selection of variables, use `summarise_at()`
`mutate_each()` is deprecated.
Use `mutate_all()`, `mutate_at()` or `mutate_if()` instead.
To map `funs` over a selection of variables, use `mutate_at()`
`summarise_each()` is deprecated.
Use `summarise_all()`, `summarise_at()` or `summarise_if()` instead.
To map `funs` over all variables, use `summarise_all()`
`summarise_each()` is deprecated.
Use `summarise_all()`, `summarise_at()` or `summarise_if()` instead.
To map `funs` over a selection of variables, use `summarise_at()`
`mutate_each()` is deprecated.
Use `mutate_all()`, `mutate_at()` or `mutate_if()` instead.
To map `funs` over a selection of variables, use `mutate_at()`
`summarise_each()` is deprecated.
Use `summarise_all()`, `summarise_at()` or `summarise_if()` instead.
To map `funs` over all variables, use `summarise_all()`
       cyl      mpg     disp       hp     drat      wt     qsec     vs      am
1        4 26.66000 105.1400  82.6400 4.070000 2.29000 19.14000 0.9100 0.73000
2        6 19.74000 183.3100 122.2900 3.590000 3.12000 17.98000 0.5700 0.43000
3        8 15.10000 353.1000 209.2100 3.230000 4.00000 16.77000 0.0000 0.14000
4 All_Data 20.09062 230.7219 146.6875 3.596563 3.21725 17.84875 0.4375 0.40625
    gear   carb
1 4.0900 1.5500
2 3.8600 3.4300
3 3.2900 3.5000
4 3.6875 2.8125
`summarise_each()` is deprecated.
Use `summarise_all()`, `summarise_at()` or `summarise_if()` instead.
To map `funs` over a selection of variables, use `summarise_at()`
`mutate_each()` is deprecated.
Use `mutate_all()`, `mutate_at()` or `mutate_if()` instead.
To map `funs` over a selection of variables, use `mutate_at()`
`summarise_each()` is deprecated.
Use `summarise_all()`, `summarise_at()` or `summarise_if()` instead.
To map `funs` over all variables, use `summarise_all()`
       cyl  mpg  disp    hp  drat    wt  qsec vs am gear carb
1        4 26.0 108.0  91.0 4.080 2.200 18.90  1  1    4  2.0
2        6 19.7 167.6 110.0 3.900 3.210 18.30  1  0    4  4.0
3        8 15.2 350.5 192.5 3.120 3.750 17.18  0  0    3  3.5
4 All_Data 19.2 196.3 123.0 3.695 3.325 17.71  0  0    4  2.0