Nothing
## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
tidy.opts = list(width.cutoff = 60), tidy = TRUE,
cache.rebuild = TRUE
)
## ---- include = FALSE---------------------------------------------------------
library(swephR)
data(SE)
options(digits = 5)
## ----setup--------------------------------------------------------------------
library(VedicDateTime)
## -----------------------------------------------------------------------------
jd <- 2459778 #Julian day number
place <- c(15.34, 75.13, +5.5) #Latitude, Longitude and timezone of the location
tithi(jd,place)
## -----------------------------------------------------------------------------
tithi(gregorian_to_jd(17,6,2022),c(15.34, 75.13, +5.5))
## ----echo=FALSE---------------------------------------------------------------
for (i in 1:length(tithis)){
print(paste(i," - ",tithis[i]))
}
## -----------------------------------------------------------------------------
jd <- 2459778 #Julian day number
place <- c(15.34, 75.13, +5.5) #Latitude, Longitude and timezone of the location
get_tithi_name(jd,place)
## -----------------------------------------------------------------------------
get_tithi_name(gregorian_to_jd(17,6,2022),c(15.34, 75.13, +5.5))
## -----------------------------------------------------------------------------
vaara <- function(jd){
return (as.integer(ceiling(jd + 1) %% 7) + 1)
}
## -----------------------------------------------------------------------------
vaara(2459778)
## -----------------------------------------------------------------------------
vaara(gregorian_to_jd(6,8,2022))
## ----echo=FALSE---------------------------------------------------------------
vaaras <- c(
"Ravivar",
"Somvar",
"Mangalwar",
"Budhwar",
"Guruwar",
"Shukrawar",
"Shaniwar"
)
for (i in 1:length(vaaras)){
print(paste(i," - ",vaaras[i]))
}
## -----------------------------------------------------------------------------
get_vaara_name(2459778)
## -----------------------------------------------------------------------------
get_vaara_name(gregorian_to_jd(6,8,2022))
## -----------------------------------------------------------------------------
jd <- 2459778 #Julian day number
place <- c(15.34, 75.13, +5.5) #Latitude, Longitude and timezone of the location
nakshatra(jd,place)
## -----------------------------------------------------------------------------
nakshatra(gregorian_to_jd(17,6,2022),c(15.34, 75.13, +5.5))
## ----echo=FALSE---------------------------------------------------------------
for (i in 1:length(nakshatras)){
print(paste(i," - ",nakshatras[i]))
}
## -----------------------------------------------------------------------------
jd <- 2459778 #Julian day number
place <- c(15.34, 75.13, +5.5) #Latitude, Longitude and timezone of the location
get_nakshatra_name(jd,place)
## -----------------------------------------------------------------------------
get_nakshatra_name(gregorian_to_jd(17,6,2022),c(15.34, 75.13, +5.5))
## -----------------------------------------------------------------------------
jd <- 2459778 #Julian day number
place <- c(15.34, 75.13, +5.5) #Latitude, Longitude and timezone of the location
yoga(jd,place)
## -----------------------------------------------------------------------------
yoga(gregorian_to_jd(17,6,2022),c(15.34, 75.13, +5.5))
## ----echo=FALSE---------------------------------------------------------------
for (i in 1:length(yogas)){
print(paste(i," - ",yogas[i]))
}
## -----------------------------------------------------------------------------
jd <- 2459778 #Julian day number
place <- c(15.34, 75.13, +5.5) #Latitude, Longitude and timezone of the location
get_yoga_name(jd,place)
## -----------------------------------------------------------------------------
get_yoga_name(gregorian_to_jd(17,6,2022),c(15.34, 75.13, +5.5))
## -----------------------------------------------------------------------------
karana <- function(jd,place){
tithi_ = tithi(jd,place)
answer <- c((tithi_[1] * 2) - 1,tithi_[1] * 2)
return(answer)
}
## -----------------------------------------------------------------------------
jd <- 2459778 #Julian day number
place <- c(15.34, 75.13, +5.5) #Latitude, Longitude and timezone of the location
karana(jd,place)
## -----------------------------------------------------------------------------
karana(gregorian_to_jd(17,6,2022),c(15.34, 75.13, +5.5))
## -----------------------------------------------------------------------------
jd <- 2459778 #Julian day number
place <- c(15.34, 75.13, +5.5) #Latitude, Longitude and timezone of the location
get_karana_name(jd,place)
## -----------------------------------------------------------------------------
get_karana_name(gregorian_to_jd(17,6,2022),c(15.34, 75.13, +5.5))
## -----------------------------------------------------------------------------
rashi <- function(jd){
swe_set_sid_mode(SE$SIDM_LAHIRI,0,0)
s = moon_longitude(jd)
lunar_nirayana = (moon_longitude(jd) - swe_get_ayanamsa_ex_ut(jd,SE$FLG_SWIEPH + SE$FLG_NONUT)$daya) %% 360
return (ceiling(lunar_nirayana / 30))
}
## -----------------------------------------------------------------------------
jd <- gregorian_to_jd(17,6,2022) #Julian day number
rashi(jd)
## ----echo=FALSE---------------------------------------------------------------
for (i in 1:length(rashis)){
print(paste(i," - ",rashis[i]))
}
## -----------------------------------------------------------------------------
jd <- gregorian_to_jd(17,6,2022) #Julian day number
get_rashi_name(jd)
## -----------------------------------------------------------------------------
lagna <- function(jd){
swe_set_sid_mode(SE$SIDM_LAHIRI,0,0)
s = sun_longitude(jd)
solar_nirayana = (sun_longitude(jd) - swe_get_ayanamsa_ex_ut(jd,SE$FLG_SWIEPH + SE$FLG_NONUT)$daya) %% 360
return (ceiling(solar_nirayana / 30))
}
## -----------------------------------------------------------------------------
jd <- gregorian_to_jd(17,6,2022) #Julian day number
lagna(jd)
## -----------------------------------------------------------------------------
jd <- gregorian_to_jd(17,6,2022) #Julian day number
get_lagna_name(jd)
## -----------------------------------------------------------------------------
masa <- function(jd,place){
#Masa as -> 1 = Chaitra, 2 = Vaisakha, ..., 12 = Phalguna
ti = tithi(jd,place)[1]
critical = sunrise(jd,place)[1]
last_new_moon = new_moon(critical,ti,-1)
next_new_moon = new_moon(critical,ti,+1)
this_solar_month = lagna(last_new_moon)
next_solar_month = lagna(next_new_moon)
is_leap_month = (this_solar_month == next_solar_month)
maasa = this_solar_month + 1
if(maasa > 12){
maasa = maasa %% 12
}
return (c(as.integer(maasa),is_leap_month))
}
## -----------------------------------------------------------------------------
jd <- 2459778 #Julian day number
place <- c(15.34, 75.13, +5.5) #Latitude, Longitude and timezone of the location
masa(jd,place)
## -----------------------------------------------------------------------------
masa(gregorian_to_jd(17,6,2022),c(15.34, 75.13, +5.5))
## ----echo=FALSE---------------------------------------------------------------
for (i in 1:length(masas)){
print(paste(i," - ",masas[i]))
}
## -----------------------------------------------------------------------------
jd <- 2459778 #Julian day number
place <- c(15.34, 75.13, +5.5) #Latitude, Longitude and timezone of the location
get_masa_name(jd,place)
## -----------------------------------------------------------------------------
get_masa_name(gregorian_to_jd(17,6,2022),c(15.34, 75.13, +5.5))
## -----------------------------------------------------------------------------
ritu <- function(masa_num){
return (((masa_num[1] - 1) %/% 2) + 1)
}
## -----------------------------------------------------------------------------
masa_num <- masa(gregorian_to_jd(17,6,2022),c(15.34, 75.13, +5.5))[1]
ritu(masa_num)
## ----echo=FALSE---------------------------------------------------------------
for (i in 1:length(ritus)){
print(paste(i," - ",ritus[i]))
}
## -----------------------------------------------------------------------------
masa_num <- masa(gregorian_to_jd(17,6,2022),c(15.34, 75.13, +5.5))[1]
get_ritu_name(masa_num)
## -----------------------------------------------------------------------------
ahargana <- function(jd){
return (jd - 588465.5)
}
elapsed_year <- function(jd,maasa_num){
sidereal_year = 365.25636
ahar = ahargana(jd)
kali = as.integer((ahar + (4 - maasa_num) * 30) / sidereal_year)
saka = kali - 3179
vikrama = saka + 135
return (c(kali, saka, vikrama))
}
samvatsara <- function(jd,maasa_num){
kali = elapsed_year(jd,maasa_num)[1]
if(kali >= 4009){
kali = (kali - 14) %% 60
}
samvat = (kali + 27 + as.integer((kali * 211 - 108)/18000)) %% 60
return (samvat)
}
## -----------------------------------------------------------------------------
jd <- gregorian_to_jd(17,6,2022) #Julian day number
#Number associated with the masa
masa_num <- masa(gregorian_to_jd(17,6,2022),c(15.34, 75.13, +5.5))[1]
samvatsara(jd,masa_num)
## ----echo=FALSE---------------------------------------------------------------
for (i in 1:length(samvatsars)){
print(paste(i," - ",samvatsars[i]))
}
## -----------------------------------------------------------------------------
jd <- gregorian_to_jd(17,6,2022) #Julian day number
#Number associated with the masa
masa_num <- masa(gregorian_to_jd(17,6,2022),c(15.34, 75.13, +5.5))[1]
get_samvatsara_name(jd,masa_num)
## -----------------------------------------------------------------------------
gregorian_to_jd(17,6,2022) #In dd,mm,yyyy
## -----------------------------------------------------------------------------
jd_to_gregorian(2459778)
## -----------------------------------------------------------------------------
sun_longitude(2459778)
## -----------------------------------------------------------------------------
sun_longitude(gregorian_to_jd(17,6,2022))
## -----------------------------------------------------------------------------
moon_longitude(2459778)
## -----------------------------------------------------------------------------
moon_longitude(gregorian_to_jd(17,6,2022))
## -----------------------------------------------------------------------------
jd <- 2459778 #Julian day number
place <- c(15.34, 75.13, +5.5) #Latitude, Longitude and timezone of the location
sunrise(jd,place)
## -----------------------------------------------------------------------------
jd <- gregorian_to_jd(17,6,2022) #Julian day number
place <- c(15.34, 75.13, +5.5) #Latitude, Longitude and timezone of the location
sunrise(jd,place)
## -----------------------------------------------------------------------------
jd <- 2459778 #Julian day number
place <- c(15.34, 75.13, +5.5) #Latitude, Longitude and timezone of the location
sunset(jd,place)
## -----------------------------------------------------------------------------
jd <- gregorian_to_jd(17,6,2022) #Julian day number
place <- c(15.34, 75.13, +5.5) #Latitude, Longitude and timezone of the location
sunset(jd,place)
## -----------------------------------------------------------------------------
jd <- 2459778 #Julian day number
place <- c(15.34, 75.13, +5.5) #Latitude, Longitude and timezone of the location
moonrise(jd,place)
## -----------------------------------------------------------------------------
jd <- gregorian_to_jd(17,6,2022) #Julian day number
place <- c(15.34, 75.13, +5.5) #Latitude, Longitude and timezone of the location
moonrise(jd,place)
## -----------------------------------------------------------------------------
jd <- 2459778 #Julian day number
place <- c(15.34, 75.13, +5.5) #Latitude, Longitude and timezone of the location
moonset(jd,place)
## -----------------------------------------------------------------------------
jd <- gregorian_to_jd(17,6,2022) #Julian day number
place <- c(15.34, 75.13, +5.5) #Latitude, Longitude and timezone of the location
moonset(jd,place)
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