filter.totcor: Selection of visual meteor data by total correction factor
In MetFns: Analysis of Visual Meteor Data

Description Usage Arguments Details Value Note Author(s) References See Also Examples

Selects data for a given visual meteor dataset, specified shower, population index and total correction factor.

1	filter.totcor(data,shw,r,C)

`data`	data frame consisting of visual meteor data (rate or magnitude data).
`shw`	character string consisting of three capital letters which represent meteor shower code.
`r`	numeric vector specifying population index of a meteor shower.
`C`	numeric vector specifying upper boundary of total correction factor.

Total correction factor accounts for all non-ideal observing conditions such as clouds, low radiant, low limiting magnitude.

Total correction factor is equal to C=F*r^(6.5-lmg)\ sin(h), where r is population index, lmg limiting magnitude, F correction factor for field-of-view obstruction, h radiant elevation.

filter.totcor returns data frame containing observations with total correction factors upper bounded (smaller or equal) by argument C

Argument data has to consist of the columns named "Latitude", "Longitude", "F","Lmg" and "Shower".

Kristina Veljkovic

Rendtel J. and Arlt R., editors (2014). Handbook For Meteor Observers. IMO, Potsdam.

filter,filter.h,filter.mag,filter.P,zhr

## select 2015 visual meteor rate data during the period between 10-25 October and then
## select observations of Orionids with total correction factor smaller or equal to 5
rateOct<-filter.date(rate2015,date.start="2015-10-10",date.end="2015-10-25")
filter.totcor(rateOct,shw="ORI",r=2.5,C=5)