`iNEXT`

: Interpolation and extrapolation of Hill number with order q

1 2 |

`x` |
a matrix, data.frame (species by sites), or list of species abundances or incidence frequencies. If |

`q` |
a numeric value specifying the diversity order of Hill number . |

`datatype` |
data type of input data: individual-based abundance data ( |

`size` |
an integer vector of sample sizes (number of individuals or sampling units) for which diversity estimates will be computed.
If NULL, then diversity estimates will be computed for those sample sizes determined by the specified/default |

`endpoint` |
an integer specifying the sample size that is the |

`knots` |
an integer specifying the number of equally-spaced |

`se` |
a logical variable to calculate the bootstrap standard error and |

`conf` |
a positive number < 1 specifying the level of confidence interval, default is 0.95. |

`nboot` |
an integer specifying the number of replications. |

a list of three objects: `$DataInfo`

for summarizing data information;
`$iNextEst`

for showing diversity estimates for rarefied and extrapolated samples along with related statistics;
and `$AsyEst`

for showing asymptotic diversity estimates along with related statistics.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ```
## example for abundance based data (list of vector)
data(spider)
out1 <- iNEXT(spider, q=0, datatype="abundance")
out1$DataInfo # showing basic data information.
out1$AsyEst # showing asymptotic diversity estimates.
out1$iNextEst # showing diversity estimates with rarefied and extrapolated.
## example for abundance based data (data.frame)
data(bird)
out2 <- iNEXT(bird, q=0, datatype="abundance")
ggiNEXT(out2)
## example for incidence frequencies based data (list of data.frame)
data(ant)
t <- round(seq(10, 500, length.out=20))
out3 <- iNEXT(ant$h500m, q=1, datatype="incidence_freq", size=t, se=FALSE)
out3$iNextEst
``` |

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