ExpOutQQ

This function automatically scans through each variable and creates normal QQ plot also adds a line to a normal quantile quantile plot.

Exploratory analysis on any input data describing the structure and the relationships present in the data. The package automatically select the variable and does related descriptive statistics. Analyzing information value, weight of evidence, custom tables, summary statistics, graphical techniques will be performed for both numeric and categorical predictors.

Dayanand Ubrangala

SmartEDA

Summarize and Explore the Data

Dayanand Ubrangala 

Kiran R

Ravi Prasad Kondapalli

Sayan Putatunda

ExpOutQQ function

<dl><dt>data</dt>
<dd>Input dataframe or data.table</dd>
<dt>nlim</dt>
<dd>numeric variable limit</dd>
<dt>fname</dt>
<dd>output file name. Output will be generated in PDF format</dd>
<dt>Page</dt>
<dd>output pattern. if Page=c(3,2), It will generate 6 plots with 3 rows and 2 columns</dd>
<dt>sample</dt>
<dd>random number of plots</dd></dl>

Arguments

Quantile Quantile Plots — ExpOutQQ

<dl>

<dt>data</dt>
<dd>Input dataframe or data.table</dd>


<dt>nlim</dt>
<dd>numeric variable limit</dd>


<dt>fname</dt>
<dd>output file name. Output will be generated in PDF format</dd>


<dt>Page</dt>
<dd>output pattern. if Page=c(3,2), It will generate 6 plots with 3 rows and 2 columns</dd>


<dt>sample</dt>
<dd>random number of plots</dd>

</dl>

ExpOutQQ: Quantile Quantile Plots

Description

Usage

Value

Arguments

See Also

Examples