Amrita Gadiyas and Varjyam are specific time periods determined based on the Nakshatram (lunar mansion) of the day. These time intervals are significant in Vedic astrology:

• Amrita Gadiyas: Considered an auspicious period for initiating activities.

• Varjyam: An inauspicious period during which important tasks should be avoided.

Both these periods depend on the duration of the Nakshatram of the day and are calculated proportionally.

Given a Nakshatram, the formulas to determine the starting times and duration of Amrita Gadiyas and Varjyam are:

Starting Time Formula: Starting Time of Nakshatram + (x/24) * Duration of Nakshatram

Duration Formula: Duration of Nakshatram * (1.6/24)

Where X is a predefined constant specific to each Nakshatram (see the table below).

Given Data: Nakshatram: Aswini

Starting Time: 6:30 AM

Ending Time: 8:00 AM next day

Duration of Nakshatram: 25 hours 30 minutes (25.5 hours)

Starting Time = 6.5 + (16.8 × 25.5) / 24 = 6.5 + 17.85 = 24.35 hours (which is 12:21 AM next day)

Duration = (25.5 × 1.6) / 24 = 1.7 hours = 1 hour 42 minutes

Starting Time = 6.5 + (20 × 25.5) / 24 = 6.5 + 21.25 = 27.75 hours (which is 3:45 AM next day)

Duration = 1 hour 42 minutes (same formula as above)

• Auspicious Activity Planning: Amrita Gadiyas are suitable for important events like weddings, business deals, and travel.

• Avoiding Inauspicious Timing: Varjyam should be avoided for new ventures, surgeries, or crucial tasks.

R functions to compute important Panchangam timings based on sunrise and sunset for a given location and date. The key functions calculate:

• Rahu Kalam
• Gulika Kalam
• Yama Gandam
• Durmuhurtham

Each function utilizes astronomical principles and follows the standard calculation method found in Indian Panchangam.

These time periods are considered significant in Hindu astrology:

• Rahu Kalam: Inauspicious period ruled by Rahu. Avoid starting new ventures.

• Gulika Kalam: Neutral period, suitable for routine tasks but not for auspicious activities.

• Yama Gandam: Inauspicious period, avoid starting important tasks.

• Durmuhurtham: Considered inauspicious, often avoided for major decisions or events.

• calc_rahu_kalam(sunrise, sunset, day)

  • Start Time = Sunrise + Duration of the Day × Factor
  • Duration = Duration of the Day × 0.125

  

• calc_gulika_kalam(sunrise, sunset, day)

  • Start Time = Sunrise + Duration of the Day × Factor
  • Duration = Duration of the Day × 0.125

  

• calc_yama_gandam(sunrise, sunset, day)

  • Start Time = Sunrise + Duration of the Day × Factor
  • Duration = Duration of the Day × 0.125

  

• calc_durmuhurtham(sunrise, duration_day)

  • First Start Time = Sunrise + Duration of the Day × (10.4 / 12)
  • Second Start Time = Sunrise + Duration of the Day × (6.4 / 12)
  • Duration = Duration of the Day × (0.8 / 12)

  

DummyPackage is an R package designed for demonstration purposes, containing a set of dummy functions for string and numeric calculations. The package serves as a template for learning and experimenting with R package development, function structuring, and documentation.

To use DummyPackage, you can install it from the source folder where it is located.

# Install the package from the local directory

git clone https://github.com/SKG24/VedicDateTime.git

install.packages("Dummy_Package", repos = NULL, type = "source")

# Load the package

library(DummyPackage)

• dummy_function1

  dummy_function1 <- function() {
  return("Hello from function 1!")
}

• dummy_function2

  dummy_function2 <- function(x) {
  return(x^2)
}

• dummy_function3

  dummy_function3 <- function(a, b) {
  return(paste(a, b))
}

• dummy_function4

  dummy_function4 <- function(n) {
  return(seq(1, n))
}

• dummy_function5

  dummy_function5 <- function(v) {
  return(mean(v, na.rm = TRUE))
}

During package development, a note was encountered related to timezone recognition. This issue couldn't be resolved by explicitly setting the timezone in a system-recognized format:

Sys.setenv(TZ = "Asia/Kolkata")

This package is released under the MIT License.

Sanat Kumar Gupta ([email protected])