statdf

Tools for quickly processing and analyzing
field observation data and air quality data. This
tools contain functions that facilitate analysis
in atmospheric chemistry (especially in ozone
pollution). Some functions of time series are also
applicable to other fields. For detail please view
homepage<https://github.com/tianshu129/foqat>.
Scientific Reference:
1. The Hydroxyl Radical (OH) Reactivity: Roger Atkinson and Janet Arey (2003) <doi:10.1021/cr0206420>.
2. Ozone Formation Potential (OFP): <http://ww2.arb.ca.gov/sites/default/files/barcu/regact/2009/mir2009/mir10.pdf>, Zhang et al.(2021) <doi:10.5194/acp-21-11053-2021>.
3. Aerosol Formation Potential (AFP): Wenjing Wu et al. (2016) <doi:10.1016/j.jes.2016.03.025>.
4. TUV model: <https://www2.acom.ucar.edu/modeling/tropospheric-ultraviolet-and-visible-tuv-radiation-model>.

Tianshu Chen

foqat

Field Observation Quick Analysis Toolkit

statdf function

<dl><dt>df</dt>
<dd>dataframe of time series.</dd>
<dt>n</dt>
<dd>digits for reuslt in dataframe.</dd>
<dt>cmcase</dt>
<dd>logical value. Set to TRUE if you only 
want to summary cases which are complete, i.e., have 
no missing values.</dd>
<dt>prop</dt>
<dd>logical value. Convert time series into 
proportion time series before summary.</dd></dl>

Arguments

Summary of dataframe — statdf

<dl>

<dt>df</dt>
<dd>dataframe of time series.</dd>


<dt>n</dt>
<dd>digits for reuslt in dataframe.</dd>


<dt>cmcase</dt>
<dd>logical value. Set to TRUE if you only 
want to summary cases which are complete, i.e., have 
no missing values.</dd>


<dt>prop</dt>
<dd>logical value. Convert time series into 
proportion time series before summary.</dd>

</dl>

statdf: Summary of dataframe

Description

Usage

Value

Arguments

Details

Examples