gompertz
function to generate curves between zero and t
and adds some random noise to the x- and y-axes. The three parameters given as input values will be slightly changed to produce different growth curves. The resulting datasets can be used to test the grofit
function.
ran.data(d, t, mu = 1, lambda = 5, A = 15)
d
is a vector, only the first entry is used.
t
is a vector, only the first entry is used.
mu
is a vector, only the first entry is used.
lambda
is a vector, only the first entry is used.
A
is a vector, only the first entry is used.
d
xt
, each row represent the time points for which growth data is simulated and stored in each row of data
.d
x(3+t
), 1. column, character as an experiment identifier; 2. column: character, additional information about respecting experiment; 3. column: concentration of substrate of a compound under which the experiment is obtained; 4.-(3+t). column: growth data corresponding to the time points in time
.grofit
and gcFit
.