general_descript_stats: general_descript_stats

In 1Edtrujillo1/udeploy: Back-end & Front-end functions

Description

Create a descriptive analysis from a numeric variable based on the levels of factor variables from a dataset.

Usage

general_descript_stats(
  df,
  num_int_var,
  statistical_choice = c("TABLES.FREQUENCY.BOUNDARIES",
    "TABLES.FREQUENCY.DESCRIPTIVE_FREQUENCY", "TABLES.MODE.MODE_VALUE",
    "TABLES.MODE.MODE_DESCRIPTION", "TABLES.TENDENCY.CENTRAL_TENDENCY",
    "TABLES.TENDENCY.DISPERSION_TENDENCY",
    "TABLES.STATISTICAL_COEFFICIENTS.COEFFICIENTS",
    "TABLES.STATISTICAL_COEFFICIENTS.COEFFICIENTS_DESCRIPTION",
    "TABLES.CONDITIONAL.CONDITIONAL_FREQUENCY",
    "TABLES.CONDITIONAL.CONDITIONAL_EXPENCTATION", "PLOTS.DESCRIPTIVE_FREQUENCY.OGIVE",
    "PLOTS.DESCRIPTIVE_FREQUENCY.CUMMULATIVE", "PLOTS.DESCRIPTIVE_FREQUENCY.HISTOGRAM",  
       "PLOTS.CENTRAL_TENDENCY.GENERAL_BOXPLOT", "PLOTS.CENTRAL_TENDENCY.BINS_BOXPLOT",
    "PLOTS.ANALYZING_MEANS.STANDARD_ERROR", "PLOTS.ANALYZING_MEANS.COMPARING_MEANS")
)

Arguments

df	dataset to obtain the descriptive statistical analysis
num_int_var	ONE NUMERICAL VARIABLE from the dataset
statistical_choice	Type of descriptive statistical analysis

Details

This function allows you to return different types descriptive statistic analysis from a numeric variable based on the levels of factor variables from a dataset.

Value

"This function returns different results based on the arguments statistical_choice argument".

• If statistical_choice = "TABLES.FREQUENCY.BOUNDARIES", list where each element is going to be a list containing the bound, bins number, bin size and the interval values for the distribution of the num_int_var on a specific combination level of the factor variables

• If statistical_choice = "TABLES.FREQUENCY.DESCRIPTIVE_FREQUENCY", list where each element is going to be the frequency table for the distribution of the num_int_var on a specific combination level of the factor variables

• If statistical_choice = "TABLES.MODE.MODE_VALUE", list where each element is going to be an the mode(s) for the distribution of the num_int_var on a specific combination level of the factor variables

• If statistical_choice = "TABLES.MODE.MODE_DESCRIPTION", list where each element is going to be the interpretation of the mode(s) for the distribution of the num_int_var on a specific combination level of the factor variables

• If statistical_choice = "TABLES.TENDENCY.CENTRAL_TENDENCY",list where each element is going to be a dataset with the mode, mean min, q25, median, q75,p90,p95,p99,max, midrange for the distribution of the num_int_var on a specific combination level of the factor variables

• If statistical_choice = "TABLES.TENDENCY.DISPERSION_TENDENCY",list where each element is going to be a dataset with the variance, standard deviation, interquantil range and range for the distribution of the num_int_var on a specific combination level of the factor variables

• If statistical_choice = "TABLES.STATISTICAL_COEFFICIENTS.COEFFICIENTS", list where each element is going to be a list with the coefficient of variation, standard error, skeweness and kurtosis for the distribution of the num_int_var on a specific combination level of the factor variables

• If statistical_choice = "TABLES.STATISTICAL_COEFFICIENTS.COEFFICIENTS_DESCRIPTION", list where each element is going to be a list with the interpretation of the coefficient of variation, standard error, skeweness and kurtosis for the distribution of the num_int_var on a specific combination level of the factor variables

• If statistical_choice = "TABLES.CONDITIONAL.CONDITIONAL_FREQUENCY", list where each element is going to be a dataset with the conditional probability on that specific level-combination given the join observations on other specific level-combination for the distribution of the num_int_var on a specific combination level of the factor variables

• If statistical_choice = "TABLES.CONDITIONAL.CONDITIONAL_EXPENCTATION", list where each element is going to be a dataset with the conditional expectancy, conditional variance & conditional standard deviation on that specific level-combination given the join observations on other specific level-combination for the distribution of the num_int_var on a specific combination level of the factor variables

• If statistical_choice = "PLOTS.DESCRIPTIVE_FREQUENCY.OGIVE", list where each element is going to be the ogive plot for the distribution of the num_int_var on a specific combination level of the factor variables

• If statistical_choice = "PLOTS.DESCRIPTIVE_FREQUENCY.CUMMULATIVE", list where each element is going to be the accumulative distribution function plot for the distribution of the num_int_var on a specific combination level of the factor variables

• If statistical_choice = "PLOTS.DESCRIPTIVE_FREQUENCY.HISTOGRAM", list where each element is going to be the histogram plot for the distribution of the num_int_var on a specific combination level of the factor variables

• If statistical_choice = "PLOTS.CENTRAL_TENDENCY.GENERAL_BOXPLOT", list where each element is going to be the box plot for the distribution of the num_int_var on a specific combination level of the factor variables

• If statistical_choice = "PLOTS.CENTRAL_TENDENCY.BINS_BOXPLOT", list where each element is going to be the box plot on each bin from the frequency table for the distribution of the num_int_var on a specific combination level of the factor variables

• If statistical_choice = "PLOTS.ANALYZING_MEANS.STANDARD_ERROR", bar plot comparing the standard error of each combination level of the factor variables for the distribution of the num_int_var.

• If statistical_choice = "PLOTS.ANALYZING_MEANS.STANDARD_ERROR", Polar area plot comparing the mean of each combination level of the factor variables for the distribution of the num_int_var.

Note

• Each output is going to be a list, where each element is the result from each combination levels of the factor variables and the whole distribution of the numeric variable.

• If there is no factor variable(s) then it is going to bring the calculation of the whole distribution of num_int_var

Author(s)

Eduardo Trujillo

1Edtrujillo1/udeploy documentation built on July 13, 2021, 9:12 p.m.