Description Usage Arguments Details Value Note Author(s) References Examples
Calculate Taxable Income and Income Tax liability for Assessment Year 2018-19 (for income earned during Financial Year 01.04.2017 to 31.03.2018) for Individual resident aged below 60 years,Senior Citizen,Super Senior Citizen, Firm, Local Authority, Any Non Resident Individual / Hindu Undivided Family / Association of Persons /Body of Individuals / Artificial Judicial Person, Co-operative Society.
1 |
income |
numeric value > 0, Annual income for the Financial Year (FY) 2017-2018. |
category |
numeric values between(1-6), Respective category as per their source of Income. |
Calculate Taxable Income and Income Tax liability for Assessment Year 2017-18 (for income earned during Financial Year 01.04.2017 to 31.03.2018) for Individual resident aged below 60 years,Senior Citizen,Super Senior Citizen, Firm, Local Authority, Any Non Resident Individual / Hindu Undivided Family / Association of Persons /Body of Individuals / Artificial Judicial Person, Co-operative Society.
Categories details:
1 |
Individual resident aged below 60 years (Male and Female) |
2 |
Senior Citizen |
3 |
Super Senior Citizen |
4 |
Any NRI or HUF or AOP or BOI or AJP |
5 |
Co-operative Society |
6 |
Firm,Local Authority |
A list containing the following components:
IT |
Income tax |
TI |
Taxable income |
EC |
Education Cess |
SC |
Surcharge |
MR |
Marginal Relief (if applicable) |
NSC |
Net Surcharge |
Will be updated with every years Tax policies
Sulthan
www.incometaxindiaefiling.gov.in
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ##Income Tax calculation for individual
ITI2018(330000)
##Income Tax calculation for Senior Citizen
ITI2018(580000,2)
##Income Tax calculation for group of individuals
employees<-c(250000,350000,200000,7500000)
ITI2018(employees,1)
##Income Tax calculation for dataframe with mixed category of data
sdata <- data.frame(income = c(300000, 600000, 5000000,15000000),
category = c(1, 2, 3, 4))
ITI2018(sdata$income,sdata$category)
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