Using DescriptiveStats.OBeu with OpenCPU"

Introduction

This document describes the use of the functions implemented in DescriptiveStats.OBeu package in OpenCPU environment, after installing OpenCPU and DescriptiveStats.OBeu package on OpenCPU server address(/ocpu/test).

How to use functions

 ../library/ {name of the library} /R/ {function}

OpenCPU and DescriptiveStats.OBeu

ds.analysis

In this example we will use ds.analysis function that returns in a single call a json string or a list with the following components:

+---------------+------------------------+-----------------------------------------------------------+ | Component | Output | Description | +===============+========================+===========================================================+ | statistics | - Min | - The minimum observed value of the input data | | | - Max | - The maximum observed value of the input data | | | - Range | - The difference between maximum and minimum | | | - Mean | - The average value of the input data | | | - Median | - The median value of the input data | | | - Quantiles | - The 25%, 75% percentiles | | | - Variance | - The variance of the input data | | | - StandardDeviation | - The standard deviation of the input data | | | - Skewness | - The Skewness of the input data | | | - Kurtosis | - The Kurtosis of the input data | +---------------+------------------------+-----------------------------------------------------------+ | boxplot | - lo.whisker | - Lower horizontal line out of the box | | | - lo.hinge | - Lower horizontal line of the box | | | - median | - Horizontal line in the box | | | - up.hinge | - Upper horizontal line of the box | | | - up.whisker | - Upper horizontal line out of the box | | | - box.width | - The box width of each variable | | | - lo.out | - Lower outliers | | | - up.out | - Upper outliers | | | - n | - The number of non-NA observations | +---------------+------------------------+-----------------------------------------------------------+ | histogram | - cuts | - The boundaries of the histogram classes | | | - counts | - The frequency of each histogram class | | | - mean | - The average value of the input vector | | | - median | - The median value of the input data | +---------------+------------------------+-----------------------------------------------------------+ | frequencies | - Variable name | - The name of the calculated variable | | | - frequencies | - The frequency value | | | - "_row" | - Name of the categories of the variable | | | - relative.frequencies | - Relative frequency values | +---------------+------------------------+-----------------------------------------------------------+ | correlation | - Variable name | - The name of the calculated variable | | | - Correlation value | - The correlation value | | | - "_row" | - The corresponding correlation variable | +---------------+------------------------+-----------------------------------------------------------+

Table: ds.analysis components

Select library and function

  1. Go to: yourserver/ocpu/test

  2. Copy and paste the following function to the endpoint

../library/DescriptiveStats.OBeu/R/ds.analysis
# library/ {name of the library} /R/ {function}
  1. Select Method: Post

Adding parameters parameters

Click add parameters every time you want to add a new parameters and values.

  1. Define the input data:

    • Param Name: data
    • Param Value: Wuppertal_df
  2. Define the outliers parameter(optional):

    • Param Name: outliers
    • Param Value: FALSE
  3. Define the fr.select parameter(optional):

    • Param Name: fr.select
    • Param Value: "Produktbereich"

You add likewise further parameters and change the default parameters of c.out, box.width, hist.class, corr.method, see DesciptiveStats.OBeu reference manual for further details.

  1. Ready! Click on Ajax request!

Results

  1. copy the /ocpu/tmp/{this_id_number}/R/.val (second on the right panel)

  2. finally, paste yourserver/ocpu/tmp/{this_id_number}/R/.val on a new tab.

Further Details

Github



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DescriptiveStats.OBeu documentation built on May 8, 2018, 5:04 p.m.