growth_linear function

Linear growth

Assuming an linear behavior, estimates the population size at time t, the growth rate, or population at time 0.

growth_linear(
  Nt = NULL,
  N0 = NULL,
  r = NULL,
  t0,
  t,
  time_interval,
  date = FALSE
)

Arguments

• Nt: numeric. The population at time t. If null and date = FALSE, then estimate the population at time t.
• N0: numeric. The population at time 0. If null and date = FALSE, then estimate the population at time 0.
• r: numeric. The growth rate. If null and date = FALSE, then estimate the growth rate for the time period [t0,t].
• t0: numeric. An object of class character with the date for the first population.
• t: numeric. An object of class character with the date for the second population.
• time_interval: character. A string with the time interval to calculate Delta_t.
• date: logical. If TRUE, then estimates the moment t when Nt reaches a specific value.

Returns

growth_linear returns a data frame with N0, Ntr, t0, t, delta, and time_interval for desire parameters.

Examples

# According to the Panama census at 2000-05-14,
# the population was 2,839,177. In 2010-05-16, the census
# calculates 3,405,813 population.
# To get r:

growth_linear(N0=2839177, Nt=3405813, t0="2000-05-14", t="2010-05-16", time_interval = "years")

# To get Nt at 2000-06-30:

growth_linear(N0=2839177, r=0.0182, t0="2000-05-14", t="2000-06-30", time_interval = "years")

# The time when the population will be 5,000,000.

growth_linear(N0=2839177, Nt=5000000, r=0.0182, t0="2000-05-14", date=TRUE)

References

Rdpack::insert_ref(key="growth_exp",package="popstudy")

See Also

growth_exp,growth_logistic

Author(s)

Cesar Gamboa-Sanabria