Description Details Author(s) References See Also Examples
Flowering is an important life history trait of flowering plants. It has been mainly analyzed with respect to flowering onset and duration of flowering. This tools provide some functions to compute the temporal distribution of an flowering individual related to other population members. fCV() measures the temporal variation in flowering. RIind() measures the rank order of flowering for individual plants within a population. SI(), SI2(), SI3(), and SI4() calculate flowering synchrony with different methods.
Package: | flower |
Type: | Package |
Version: | 1.0 |
Date: | 2015-01-23 |
License: | GPL(>=1.0) |
WANG,Xie Maintainer: WANG,Xie <wangxiechangde@hotmail.com>
Michalski SG, Durka W. Synchronous Pulsed Flowering: Analysis of the Flowering Phenology in Juncus (Juncaceae). Annals of Botany 2007;100(6):1271-1285. doi:10.1093/aob/mcm206.
flower
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | a1=c(0,1,1,1,0,0,0)
a2=c(0,1,0,1,1,0,0)
a3=c(0,0,0,1,1,1,0)
a4=c(1,0,0,1,1,0,1)
a5=c(0,0,1,1,1,0,1)
a6=c(0,0,0,1,1,1,1)
pop=c("pop1","pop1","pop1","pop2","pop2","pop2")
ind=c(1,2,3,1,2,3)
dd=rbind(a1,a2,a3,a4,a5,a6)
colnames(dd)=c("D5/1","D5/2","D5/3","D5/4","D5/5","D5/6","D5/7")
#the flowering synchrony index
R0=SI(dd,pop)
R0
R1=SI2_onepop(dd,as.matrix(ind))
R1
R2=SI2(dd,as.matrix(pop),as.matrix(ind))
R2
R3=SI3(dd,as.matrix(pop),as.matrix(ind))
R3
R4=SI4(dd,as.matrix(pop),as.matrix(ind))
R4
#the rank order of flowering
R5=RIind(dd,pop,ind)
R5
#the pulsed flowering phenology
R6=fCV(dd,pop)
R6
|
[1] "Result:S_mean= 0.9 S_sd= 0.14"
$m
[1] 7
$n
[1] 2
$f
[1] "pop1" "pop2"
$aij
pop1 pop2
pop1 5 4
pop2 4 6
$bij
pop1 pop2
pop1 5 5
pop2 5 6
$time
pop1 pop2
5 6
$si
pop1 pop2
Si 0.8 1
si
1 0.6666667
2 0.8000000
3 0.7500000
si
1 0.6666667
2 0.8000000
3 0.7500000
[1] "pop1"
si
1 0.5000000
2 0.6666667
3 0.5000000
[1] "pop2"
si
1 0.75
2 0.75
3 0.75
n min max mean sd
pop1 3 0.50 0.6666667 0.5555556 0.09622504
pop2 3 0.75 0.7500000 0.7500000 0.00000000
[1] "pop1"
[1] "pop1 Xip- numbers of open flowers per day"
pop1 - 1 pop1 - 2 pop1 - 3
D5.1 0 0 0
D5.2 1 1 0
D5.3 1 0 0
D5.4 1 1 1
D5.5 0 1 1
D5.6 0 0 1
[1] "pop1 ri- all pairwise Pearson correlations coefficients (ri) of xit"
pop1 - 1 pop1 - 2 pop1 - 3
pop1 - 1 1.0000000 0.3333333 -0.3333333
pop1 - 2 0.3333333 1.0000000 0.3333333
pop1 - 3 -0.3333333 0.3333333 1.0000000
[1] "pop2"
[1] "pop2 Xip- numbers of open flowers per day"
pop2 - 1 pop2 - 2 pop2 - 3
D5.1 1 0 0
D5.2 0 0 0
D5.3 0 1 0
D5.4 1 1 1
D5.6 0 0 1
[1] "pop2 ri- all pairwise Pearson correlations coefficients (ri) of xit"
pop2 - 1 pop2 - 2 pop2 - 3
pop2 - 1 1.0000000 0.1666667 0.1666667
pop2 - 2 0.1666667 1.0000000 0.1666667
pop2 - 3 0.1666667 0.1666667 1.0000000
[1] "SI3:the mean of ri"
$Result
pop1 pop2
SI3 0.1111111 0.1666667
[1] "pop1"
[1] "pop1 -SI4"
pop1 - 1 pop1 - 2 pop1 - 3
[1,] 0.6666667 0.7777778 0.6666667
[1] "pop2"
[1] "pop2 -SI4"
pop2 - 1 pop2 - 2 pop2 - 3
[1,] 0.8333333 0.8333333 0.8333333
$Result.si4
n min max mean sd
pop1 3 0.6666667 0.7777778 0.7037037 0.06415003
pop2 3 0.8333333 0.8333333 0.8333333 0.00000000
R.length R.min R.max R.mean R.sd
pop1 3 3 3 3 0
pop2 3 4 4 4 0
$res
R.length R.min R.max R.mean R.sd
pop1 3 3 3 3 0
pop2 3 4 4 4 0
$NO.of.ind
[1] 6
$aij
pop fls D5/1 D5/2 D5/3 D5/4 D5/5 D5/6 D5/7
1 pop1 pop1 - 1 0 1 1 1 0 0 0
2 pop1 pop1 - 2 0 1 0 1 1 0 0
3 pop1 pop1 - 3 0 0 0 1 1 1 0
4 pop2 pop2 - 1 1 0 0 1 1 0 1
5 pop2 pop2 - 2 0 0 1 1 1 0 1
6 pop2 pop2 - 3 0 0 0 1 1 1 1
$bij
[,1]
pop1 - 1 1
pop1 - 2 1
pop1 - 3 1
pop2 - 1 1
pop2 - 2 1
pop2 - 3 1
$xij
pop fls D5/1 D5/2 D5/3 D5/4 D5/5 D5/6 D5/7
1 pop1 pop1 - 1 0 1 1 1 0 0 0
2 pop1 pop1 - 2 0 1 0 1 1 0 0
3 pop1 pop1 - 3 0 0 0 1 1 1 0
4 pop2 pop2 - 1 1 0 0 1 1 0 1
5 pop2 pop2 - 2 0 0 1 1 1 0 1
6 pop2 pop2 - 3 0 0 0 1 1 1 1
$R
population individual r
1 pop1 pop1 - 1 3
2 pop1 pop1 - 2 3
3 pop1 pop1 - 3 3
4 pop2 pop2 - 1 4
5 pop2 pop2 - 2 4
6 pop2 pop2 - 3 4
$CV.x
pop1 pop2
D5/1 0 1
D5/2 2 0
D5/3 1 1
D5/4 3 3
D5/5 2 3
D5/6 1 1
D5/7 0 3
$CV.sd
[,1]
pop1 1.290994
pop2 1.527525
$CV.mean
[,1]
pop1 1.500000
pop2 1.333333
$CV
cv
pop1 0.860663
pop2 1.145644
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