convertNumericColumnsToNumeric

data

Character vector of values that are allowd to convert to <code>NA</code> (a missing numeric value).

naStrings

Logical: should the function first convert all factor columns to character?

unFactor

This function converts to numeric those character columns in the input that can be converted to numeric without generating
missing values except for the allowed NA representations.

misc

Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559>. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.

Peter Langfelder

WGCNA

Weighted Correlation Network Analysis

convertNumericColumnsToNumeric function

<dl> <dt>data</dt>
<dd>A data frame.</dd> <dt>naStrings</dt>
<dd>Character vector of values that are allowd to convert to <code>NA</code> (a missing numeric value).</dd> <dt>unFactor</dt>
<dd>Logical: should the function first convert all factor columns to character?</dd></dl>

Arguments

Author

Convert character columns that represent numbers to numeric — convertNumericColumnsToNumeric

<dl>

 <dt>data</dt>
<dd>A data frame.</dd>

 <dt>naStrings</dt>
<dd>Character vector of values that are allowd to convert to <code>NA</code> (a missing numeric value).</dd>

 <dt>unFactor</dt>
<dd>Logical: should the function first convert all factor columns to character?</dd>

</dl>

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convertNumericColumnsToNumeric: Convert character columns that represent numbers to numeric

Description

Usage

Value

Arguments

Author