Main Functions
| Function | Description |
|---|---|
| Data | |
| PFF | Plant Functional Traits Dataset from Ponderosa Pine Forests Flora |
| WH | Wetland Herbaceous Plant Traits Dataset |
| CSR | |
| CSR_strategy() | Calculate CSR (Competition-Stress-Ruderal) Strategy |
| CSR() | Calculate CSR strategy for multiple plant species |
| CSR_plot() | Create a ternary plot of CSR strategies |
| LHS | |
| LHS() | Calculate LHS (Leaf-Height-Seed) Strategy |
| LHS_plot() | Generate a 3D scatterplot of plant traits |
| LHS_strategy_scheme() | Create a table of Leaf-Height-Seed (LHS) strategy types |
| NPT | |
| NPT() | Perform ‘PCA of PCAs’ for ecological niche periodicity |
| NPT_plot() | Plot results from nested principal component analysis |
| TN | |
| TN_corr() | Calculate and Visualize Plant Trait Correlation Network |
| TN() | Generate Plant Trait Network |
| TN_plot() | Calculate Node and Global Metrics for Trait Networks |
| TN_metrics() | Plot Trait Network Graph |
Example Datasets
The MultiTraits package includes two example datasets: PFF and WH. Let’s load the package and examine these datasets:
## Loading required package: ggplot2## Registered S3 methods overwritten by 'ggtern':
## method from
## grid.draw.ggplot ggplot2
## plot.ggplot ggplot2
## print.ggplot ggplot2## 'data.frame': 133 obs. of 20 variables:
## $ family : chr "Asteraceae" "Asteraceae" "Poaceae" "Asteraceae" ...
## $ species : chr "Achillea millefolium" "Agoseris glauca" "Agropyron desertorum" "Ambrosia psilostachya" ...
## $ Height : int 14 12 26 44 1 2 1 8 15 7 ...
## $ Leaf_area : num 240 520 290 490 51 66 30 32 40 20 ...
## $ LDMC : int 27 17 42 20 14 27 29 27 15 43 ...
## $ SLA : int 8 20 9 16 31 13 19 13 22 7 ...
## $ SRL : int 35 56 99 73 80 27 30 50 29 51 ...
## $ SeedMass : num 0.14 2.53 0.388 5.896 0.128 ...
## $ FltDate : int 197 213 198 243 182 182 182 182 197 182 ...
## $ FltDur : int 152 183 91 122 182 122 122 182 152 182 ...
## $ k_value : num 1.7 1.1 NA 2.23 NA 0.54 0.65 1.04 1.33 0.58 ...
## $ Leaf_Cmass: num 41.2 42.6 41.5 38.4 40.8 ...
## $ Leaf_Nmass: num 1.92 1.72 2.32 2.32 1.95 1.53 1.59 1.74 1.8 0.99 ...
## $ Leaf_CN : int 22 25 18 17 22 30 26 25 25 41 ...
## $ Leaf_Pmass: num 0.36 0.39 0.06 0.25 0.29 0.18 0.17 0.13 0.13 0.06 ...
## $ Leaf_NP : int 6 4 52 14 7 9 10 14 16 18 ...
## $ Leaf_CP : int 114 109 1021 224 131 252 266 341 387 759 ...
## $ Root_Cmass: num 41 45.9 41.5 35.7 46.5 ...
## $ Root_Nmass: num 0.48 0.89 1.61 1.29 1.23 0.55 0.41 0.96 0.93 0.66 ...
## $ Root_CN : int 85 52 26 28 38 65 101 47 47 56 ...## 'data.frame': 46 obs. of 23 variables:
## $ Species: chr "Acorus calamus" "Alisma triviale" "Butomus umbellatus " "Calla palustris" ...
## $ species: chr "AcoCal" "AliTri" "ButUmb" "CalPal" ...
## $ ROH : chr "P" "S" "S" "S" ...
## $ Height : num 67.4 33.5 52.5 18.8 42.4 64 71.8 38.5 54.4 57 ...
## $ ShDM : num 5377 2247 706 279 550 ...
## $ Depth : num 32.1 47.5 34.8 36.5 27.4 25.4 28.5 17.8 36.2 33 ...
## $ RBD : num 7.1 1.96 4.19 1.16 5.2 ...
## $ RBL : num 20.1 2.65 6.55 1.72 2.07 ...
## $ RD_AR : num 2.093 1.045 1.558 0.947 0.788 ...
## $ RD_LR : num 0.211 0.157 0.152 0.233 0.138 0.167 0.14 0.148 0.164 0.222 ...
## $ RDMC_AR: num 0.14 0.061 0.048 0.045 0.189 0.174 0.163 0.154 0.189 0.147 ...
## $ RDMC_LR: num 0.098 0.103 0.083 0.051 0.153 0.144 0.116 0.12 0.144 0.113 ...
## $ SRL_AR : num 3.74 55.98 19.88 38.89 20.95 ...
## $ SRL_LR : num 152 469 438 475 244 ...
## $ RP_AR : num 0.473 0.283 0.4 0.315 0.472 0.273 0.374 0.285 0.504 0.533 ...
## $ RP_LR : num 0.133 0.076 0.092 0.144 0.107 0.061 0.126 0.155 0.127 0.192 ...
## $ LT : num 3.57 0.438 3.75 0.46 0.285 0.373 1.5 0.3 1.8 0.91 ...
## $ LDMC : num 0.19 0.135 0.151 0.139 0.288 0.201 0.297 0.361 0.358 0.316 ...
## $ SLA : num 9.4 14.9 9.15 25.3 24.45 ...
## $ LP : num 0.581 0.277 0.563 0.457 0.237 0.266 0.35 0.228 0.529 0.087 ...
## $ RhDMC : num 0.368 0.291 0.316 0.21 0.295 NA 0.169 0.285 0.197 0.162 ...
## $ RhP : num 0.218 NA 0.145 0.431 0.409 NA 0.414 0.334 0.331 0.27 ...
## $ LSI : num 0.8 1 NA 0.87 NA NA 0.5 NA 0.37 0.33 ...CSR Strategy
The CSR strategy analysis function allows you to analyze plant strategies based on the CSR (Competitive, Stress-tolerant, Ruderal) theory:
LA <- c(369615.7, 11.8, 55.7, 36061.2, 22391.8, 30068.1, 31059.5, 29895.1)
LDMC <- c(25.2, 39.7, 13.3, 35.5, 33.2, 36.1, 35.2, 34.9)
SLA <- c(17.4, 6.6, 34.1, 14.5, 8.1, 12.1, 9.4, 10.9)
traits <- data.frame(LA, LDMC, SLA)
result <- CSR(data = traits)
CSR_plot(data=result)
LHS Strategy
The LHS strategy analysis function helps you analyze plant strategies based on the LHS (Leaf-Height-Seed) theory:
## SLA Height SeedMass LHS_strategy
## 1 8 14 0.140 S-S-S
## 2 20 12 2.530 L-S-L
## 3 9 26 0.388 S-L-S
## 4 16 44 5.896 L-L-L
## 5 31 1 0.128 L-S-S
## 6 13 2 0.061 S-S-S
## type strategy
## 1 L-L-L Rapid growth, strong survivability and competitiveness
## 2 L-L-S Rapid growth, strong survivability and weak competitiveness
## 3 L-S-L Rapid growth, long-distance dispersal and strong competitiveness
## 4 L-S-S Rapid growth, long-distance dispersal and weak competitiveness
## 5 S-L-L Slow growth, strong survivability and competitiveness
## 6 S-L-S Slow growth, strong survivability and weak competitiveness
## 7 S-S-L Slow growth, long-distance dispersal and strong competitiveness
## 8 S-S-S Slow growth, long-distance dispersal and weak competitivenessNiche Periodicity Table
The niche periodicity table analysis function allows you to visualize the distribution of plant traits across different environmental gradients:
data(PFF)
PFF[,3:20] <- log(PFF[,3:20])
PFF <- na.omit(PFF)
traits_dimension <-list(
grow = c("SLA","Leaf_area","LDMC","SRL","Leaf_Nmass","Leaf_Pmass","Root_Nmass"),
survive = c("Height","Leaf_Cmass","Root_Cmass","Leaf_CN","Leaf_NP","Leaf_CP","Root_CN"),
reproductive = c("SeedMass","FltDate","FltDur"))
npt_result <- NPT(data = PFF, dimension = traits_dimension)
npt_result## $PCA_first
## pc1_percent pc1_major_eigenvector pc2_percent
## grow 61.05240 Leaf_area 15.460864
## survive 48.69647 Height 35.885156
## reproductive 95.17637 SeedMass 4.170238
## pc2_major_eigenvector
## grow Leaf_Pmass
## survive Leaf_CP
## reproductive FltDur
##
## $PCA_second
## PC1 PC2
## pc1.grow 0.4421504 -0.29926226
## pc2.grow -0.2646905 -0.47439875
## pc1.survive -0.4575448 0.19461245
## pc2.survive 0.1929222 0.51719484
## pc1.reproductive -0.5001406 0.02455148
## pc2.reproductive 0.1055980 0.07855093
##
## $result
## Call: rda(X = P)
##
## -- Model Summary --
##
## Inertia Rank
## Total 0.05941
## Unconstrained 0.05941 6
##
## Inertia is variance
##
## -- Eigenvalues --
##
## Eigenvalues for unconstrained axes:
## PC1 PC2 PC3 PC4 PC5 PC6
## 0.018757 0.015200 0.011163 0.005438 0.004725 0.004123Trait Network
The trait network analysis function helps you explore the relationships between different plant traits:
## $corr
## SLA LSI SRL_AR SRL_LR RP_LR
## SLA 1.000000000 0.53271074 0.10460454 0.157556437 -0.19008168
## LSI 0.532710742 1.00000000 0.49637572 0.443053214 -0.25140909
## SRL_AR 0.104604538 0.49637572 1.00000000 0.512824628 0.15222024
## SRL_LR 0.157556437 0.44305321 0.51282463 1.000000000 -0.33731706
## RP_LR -0.190081684 -0.25140909 0.15222024 -0.337317062 1.00000000
## LDMC -0.245301019 -0.59358878 -0.44233931 -0.304198518 0.21778726
## RDMC_AR -0.215987860 -0.46840765 -0.38298795 -0.461562667 0.12377048
## RDMC_LR -0.225504898 -0.42254539 -0.17976877 -0.343261703 0.08028269
## RhDMC -0.300311486 0.07135790 -0.29128339 -0.178306783 -0.04291417
## RBD -0.007356992 -0.12475922 -0.49643328 0.002683378 -0.48438634
## RBL -0.052828338 -0.07408082 -0.53246751 -0.173217684 -0.34084423
## LT -0.572436285 -0.19075548 -0.10774556 0.129313415 -0.14961662
## LP -0.520034486 -0.06773124 0.04899093 0.178223595 -0.16162343
## RD_LR 0.087400138 0.02791192 -0.28897427 -0.409609209 0.06157369
## ShDM -0.071265691 0.01519414 -0.41046860 -0.137185205 -0.36021092
## RD_AR 0.075785887 -0.08153491 -0.65604933 -0.275272618 -0.32616282
## RP_AR 0.127815827 -0.09882845 -0.27359375 -0.025676250 -0.13829769
## RhP 0.137417838 0.06568404 -0.01983859 0.152094957 -0.27113751
## Height -0.365437330 -0.43965937 -0.39230580 0.017887369 -0.25452538
## Depth -0.119122241 0.12086840 -0.09743188 0.305742199 -0.33537557
## LDMC RDMC_AR RDMC_LR RhDMC RBD
## SLA -0.24530102 -0.21598786 -0.22550490 -0.30031149 -0.007356992
## LSI -0.59358878 -0.46840765 -0.42254539 0.07135790 -0.124759223
## SRL_AR -0.44233931 -0.38298795 -0.17976877 -0.29128339 -0.496433282
## SRL_LR -0.30419852 -0.46156267 -0.34326170 -0.17830678 0.002683378
## RP_LR 0.21778726 0.12377048 0.08028269 -0.04291417 -0.484386337
## LDMC 1.00000000 0.64671069 0.50540518 0.28564700 0.275809649
## RDMC_AR 0.64671069 1.00000000 0.85278749 0.48774952 0.230250362
## RDMC_LR 0.50540518 0.85278749 1.00000000 0.51539916 0.059946508
## RhDMC 0.28564700 0.48774952 0.51539916 1.00000000 0.293772481
## RBD 0.27580965 0.23025036 0.05994651 0.29377248 1.000000000
## RBL 0.15104753 0.16098900 -0.04895388 0.29819072 0.740418757
## LT -0.22008102 -0.19556756 -0.21719521 0.01741285 0.060881004
## LP -0.27423649 -0.18044171 -0.14903845 -0.07943247 -0.080996361
## RD_LR -0.23800308 -0.22498976 -0.39676410 -0.37335139 -0.194478212
## ShDM -0.25774126 -0.18030805 -0.22170981 -0.10488216 0.476519923
## RD_AR -0.02098849 -0.07435492 -0.21275400 0.05882312 0.288632820
## RP_AR 0.09201162 0.01126173 -0.11139461 -0.09815606 0.077488261
## RhP -0.11250400 -0.15798152 -0.15599880 -0.31093912 -0.148374656
## Height 0.17933962 -0.01815980 -0.09284921 0.01997698 0.436115116
## Depth -0.27705725 -0.52688271 -0.38210955 -0.18631515 -0.003316926
## RBL LT LP RD_LR ShDM
## SLA -0.05282834 -5.724363e-01 -0.52003449 0.08740014 -0.07126569
## LSI -0.07408082 -1.907555e-01 -0.06773124 0.02791192 0.01519414
## SRL_AR -0.53246751 -1.077456e-01 0.04899093 -0.28897427 -0.41046860
## SRL_LR -0.17321768 1.293134e-01 0.17822359 -0.40960921 -0.13718520
## RP_LR -0.34084423 -1.496166e-01 -0.16162343 0.06157369 -0.36021092
## LDMC 0.15104753 -2.200810e-01 -0.27423649 -0.23800308 -0.25774126
## RDMC_AR 0.16098900 -1.955676e-01 -0.18044171 -0.22498976 -0.18030805
## RDMC_LR -0.04895388 -2.171952e-01 -0.14903845 -0.39676410 -0.22170981
## RhDMC 0.29819072 1.741285e-02 -0.07943247 -0.37335139 -0.10488216
## RBD 0.74041876 6.088100e-02 -0.08099636 -0.19447821 0.47651992
## RBL 1.00000000 8.968381e-02 -0.16557802 0.12626576 0.61490310
## LT 0.08968381 1.000000e+00 0.76527410 0.17068629 0.26300122
## LP -0.16557802 7.652741e-01 1.00000000 -0.05223939 0.04670654
## RD_LR 0.12626576 1.706863e-01 -0.05223939 1.00000000 0.37381207
## ShDM 0.61490310 2.630012e-01 0.04670654 0.37381207 1.00000000
## RD_AR 0.61152884 1.035804e-01 -0.15169633 0.47902504 0.62791090
## RP_AR 0.24291925 -6.230699e-05 -0.13555112 0.09414819 0.25164229
## RhP -0.17895443 1.587283e-01 0.08116432 0.30518250 0.05323982
## Height 0.42284151 5.533747e-01 0.29542530 0.05838415 0.39102066
## Depth 0.04500939 2.875720e-01 0.32653387 0.06057830 0.40621869
## RD_AR RP_AR RhP Height Depth
## SLA 0.07578589 1.278158e-01 0.13741784 -0.36543733 -0.119122241
## LSI -0.08153491 -9.882845e-02 0.06568404 -0.43965937 0.120868397
## SRL_AR -0.65604933 -2.735938e-01 -0.01983859 -0.39230580 -0.097431882
## SRL_LR -0.27527262 -2.567625e-02 0.15209496 0.01788737 0.305742199
## RP_LR -0.32616282 -1.382977e-01 -0.27113751 -0.25452538 -0.335375569
## LDMC -0.02098849 9.201162e-02 -0.11250400 0.17933962 -0.277057247
## RDMC_AR -0.07435492 1.126173e-02 -0.15798152 -0.01815980 -0.526882708
## RDMC_LR -0.21275400 -1.113946e-01 -0.15599880 -0.09284921 -0.382109550
## RhDMC 0.05882312 -9.815606e-02 -0.31093912 0.01997698 -0.186315152
## RBD 0.28863282 7.748826e-02 -0.14837466 0.43611512 -0.003316926
## RBL 0.61152884 2.429192e-01 -0.17895443 0.42284151 0.045009389
## LT 0.10358039 -6.230699e-05 0.15872830 0.55337472 0.287572050
## LP -0.15169633 -1.355511e-01 0.08116432 0.29542530 0.326533875
## RD_LR 0.47902504 9.414819e-02 0.30518250 0.05838415 0.060578302
## ShDM 0.62791090 2.516423e-01 0.05323982 0.39102066 0.406218689
## RD_AR 1.00000000 4.054560e-01 0.12655262 0.38064401 0.304399380
## RP_AR 0.40545601 1.000000e+00 0.32583876 0.31572278 0.432343580
## RhP 0.12655262 3.258388e-01 1.00000000 0.36923421 0.357416668
## Height 0.38064401 3.157228e-01 0.36923421 1.00000000 0.441489386
## Depth 0.30439938 4.323436e-01 0.35741667 0.44148939 1.000000000
##
## $corrPos
## xName yName x y corr p.value
## 1 SLA LSI 1 19 5.327107e-01 0
## 2 SLA SRL_AR 1 18 1.046045e-01 1
## 3 SLA SRL_LR 1 17 1.575564e-01 1
## 4 SLA RP_LR 1 16 -1.900817e-01 1
## 5 SLA LDMC 1 15 -2.453010e-01 1
## 6 SLA RDMC_AR 1 14 -2.159879e-01 1
## 7 SLA RDMC_LR 1 13 -2.255049e-01 1
## 8 SLA RhDMC 1 12 -3.003115e-01 1
## 9 SLA RBD 1 11 -7.356992e-03 1
## 10 SLA RBL 1 10 -5.282834e-02 1
## 11 SLA LT 1 9 -5.724363e-01 0
## 12 SLA LP 1 8 -5.200345e-01 0
## 13 SLA RD_LR 1 7 8.740014e-02 1
## 14 SLA ShDM 1 6 -7.126569e-02 1
## 15 SLA RD_AR 1 5 7.578589e-02 1
## 16 SLA RP_AR 1 4 1.278158e-01 1
## 17 SLA RhP 1 3 1.374178e-01 1
## 18 SLA Height 1 2 -3.654373e-01 1
## 19 SLA Depth 1 1 -1.191222e-01 1
## 20 LSI SRL_AR 2 18 4.963757e-01 0
## 21 LSI SRL_LR 2 17 4.430532e-01 0
## 22 LSI RP_LR 2 16 -2.514091e-01 1
## 23 LSI LDMC 2 15 -5.935888e-01 0
## 24 LSI RDMC_AR 2 14 -4.684077e-01 0
## 25 LSI RDMC_LR 2 13 -4.225454e-01 1
## 26 LSI RhDMC 2 12 7.135790e-02 1
## 27 LSI RBD 2 11 -1.247592e-01 1
## 28 LSI RBL 2 10 -7.408082e-02 1
## 29 LSI LT 2 9 -1.907555e-01 1
## 30 LSI LP 2 8 -6.773124e-02 1
## 31 LSI RD_LR 2 7 2.791192e-02 1
## 32 LSI ShDM 2 6 1.519414e-02 1
## 33 LSI RD_AR 2 5 -8.153491e-02 1
## 34 LSI RP_AR 2 4 -9.882845e-02 1
## 35 LSI RhP 2 3 6.568404e-02 1
## 36 LSI Height 2 2 -4.396594e-01 0
## 37 LSI Depth 2 1 1.208684e-01 1
## 38 SRL_AR SRL_LR 3 17 5.128246e-01 0
## 39 SRL_AR RP_LR 3 16 1.522202e-01 1
## 40 SRL_AR LDMC 3 15 -4.423393e-01 0
## 41 SRL_AR RDMC_AR 3 14 -3.829879e-01 0
## 42 SRL_AR RDMC_LR 3 13 -1.797688e-01 1
## 43 SRL_AR RhDMC 3 12 -2.912834e-01 1
## 44 SRL_AR RBD 3 11 -4.964333e-01 0
## 45 SRL_AR RBL 3 10 -5.324675e-01 0
## 46 SRL_AR LT 3 9 -1.077456e-01 1
## 47 SRL_AR LP 3 8 4.899093e-02 1
## 48 SRL_AR RD_LR 3 7 -2.889743e-01 1
## 49 SRL_AR ShDM 3 6 -4.104686e-01 0
## 50 SRL_AR RD_AR 3 5 -6.560493e-01 0
## 51 SRL_AR RP_AR 3 4 -2.735938e-01 1
## 52 SRL_AR RhP 3 3 -1.983859e-02 1
## 53 SRL_AR Height 3 2 -3.923058e-01 0
## 54 SRL_AR Depth 3 1 -9.743188e-02 1
## 55 SRL_LR RP_LR 4 16 -3.373171e-01 1
## 56 SRL_LR LDMC 4 15 -3.041985e-01 1
## 57 SRL_LR RDMC_AR 4 14 -4.615627e-01 0
## 58 SRL_LR RDMC_LR 4 13 -3.432617e-01 1
## 59 SRL_LR RhDMC 4 12 -1.783068e-01 1
## 60 SRL_LR RBD 4 11 2.683378e-03 1
## 61 SRL_LR RBL 4 10 -1.732177e-01 1
## 62 SRL_LR LT 4 9 1.293134e-01 1
## 63 SRL_LR LP 4 8 1.782236e-01 1
## 64 SRL_LR RD_LR 4 7 -4.096092e-01 0
## 65 SRL_LR ShDM 4 6 -1.371852e-01 1
## 66 SRL_LR RD_AR 4 5 -2.752726e-01 1
## 67 SRL_LR RP_AR 4 4 -2.567625e-02 1
## 68 SRL_LR RhP 4 3 1.520950e-01 1
## 69 SRL_LR Height 4 2 1.788737e-02 1
## 70 SRL_LR Depth 4 1 3.057422e-01 1
## 71 RP_LR LDMC 5 15 2.177873e-01 1
## 72 RP_LR RDMC_AR 5 14 1.237705e-01 1
## 73 RP_LR RDMC_LR 5 13 8.028269e-02 1
## 74 RP_LR RhDMC 5 12 -4.291417e-02 1
## 75 RP_LR RBD 5 11 -4.843863e-01 0
## 76 RP_LR RBL 5 10 -3.408442e-01 1
## 77 RP_LR LT 5 9 -1.496166e-01 1
## 78 RP_LR LP 5 8 -1.616234e-01 1
## 79 RP_LR RD_LR 5 7 6.157369e-02 1
## 80 RP_LR ShDM 5 6 -3.602109e-01 1
## 81 RP_LR RD_AR 5 5 -3.261628e-01 1
## 82 RP_LR RP_AR 5 4 -1.382977e-01 1
## 83 RP_LR RhP 5 3 -2.711375e-01 1
## 84 RP_LR Height 5 2 -2.545254e-01 1
## 85 RP_LR Depth 5 1 -3.353756e-01 1
## 86 LDMC RDMC_AR 6 14 6.467107e-01 0
## 87 LDMC RDMC_LR 6 13 5.054052e-01 0
## 88 LDMC RhDMC 6 12 2.856470e-01 1
## 89 LDMC RBD 6 11 2.758096e-01 1
## 90 LDMC RBL 6 10 1.510475e-01 1
## 91 LDMC LT 6 9 -2.200810e-01 1
## 92 LDMC LP 6 8 -2.742365e-01 1
## 93 LDMC RD_LR 6 7 -2.380031e-01 1
## 94 LDMC ShDM 6 6 -2.577413e-01 1
## 95 LDMC RD_AR 6 5 -2.098849e-02 1
## 96 LDMC RP_AR 6 4 9.201162e-02 1
## 97 LDMC RhP 6 3 -1.125040e-01 1
## 98 LDMC Height 6 2 1.793396e-01 1
## 99 LDMC Depth 6 1 -2.770572e-01 1
## 100 RDMC_AR RDMC_LR 7 13 8.527875e-01 0
## 101 RDMC_AR RhDMC 7 12 4.877495e-01 0
## 102 RDMC_AR RBD 7 11 2.302504e-01 1
## 103 RDMC_AR RBL 7 10 1.609890e-01 1
## 104 RDMC_AR LT 7 9 -1.955676e-01 1
## 105 RDMC_AR LP 7 8 -1.804417e-01 1
## 106 RDMC_AR RD_LR 7 7 -2.249898e-01 1
## 107 RDMC_AR ShDM 7 6 -1.803080e-01 1
## 108 RDMC_AR RD_AR 7 5 -7.435492e-02 1
## 109 RDMC_AR RP_AR 7 4 1.126173e-02 1
## 110 RDMC_AR RhP 7 3 -1.579815e-01 1
## 111 RDMC_AR Height 7 2 -1.815980e-02 1
## 112 RDMC_AR Depth 7 1 -5.268827e-01 0
## 113 RDMC_LR RhDMC 8 12 5.153992e-01 0
## 114 RDMC_LR RBD 8 11 5.994651e-02 1
## 115 RDMC_LR RBL 8 10 -4.895388e-02 1
## 116 RDMC_LR LT 8 9 -2.171952e-01 1
## 117 RDMC_LR LP 8 8 -1.490384e-01 1
## 118 RDMC_LR RD_LR 8 7 -3.967641e-01 0
## 119 RDMC_LR ShDM 8 6 -2.217098e-01 1
## 120 RDMC_LR RD_AR 8 5 -2.127540e-01 1
## 121 RDMC_LR RP_AR 8 4 -1.113946e-01 1
## 122 RDMC_LR RhP 8 3 -1.559988e-01 1
## 123 RDMC_LR Height 8 2 -9.284921e-02 1
## 124 RDMC_LR Depth 8 1 -3.821095e-01 0
## 125 RhDMC RBD 9 11 2.937725e-01 1
## 126 RhDMC RBL 9 10 2.981907e-01 1
## 127 RhDMC LT 9 9 1.741285e-02 1
## 128 RhDMC LP 9 8 -7.943247e-02 1
## 129 RhDMC RD_LR 9 7 -3.733514e-01 1
## 130 RhDMC ShDM 9 6 -1.048822e-01 1
## 131 RhDMC RD_AR 9 5 5.882312e-02 1
## 132 RhDMC RP_AR 9 4 -9.815606e-02 1
## 133 RhDMC RhP 9 3 -3.109391e-01 1
## 134 RhDMC Height 9 2 1.997698e-02 1
## 135 RhDMC Depth 9 1 -1.863152e-01 1
## 136 RBD RBL 10 10 7.404188e-01 0
## 137 RBD LT 10 9 6.088100e-02 1
## 138 RBD LP 10 8 -8.099636e-02 1
## 139 RBD RD_LR 10 7 -1.944782e-01 1
## 140 RBD ShDM 10 6 4.765199e-01 0
## 141 RBD RD_AR 10 5 2.886328e-01 1
## 142 RBD RP_AR 10 4 7.748826e-02 1
## 143 RBD RhP 10 3 -1.483747e-01 1
## 144 RBD Height 10 2 4.361151e-01 0
## 145 RBD Depth 10 1 -3.316926e-03 1
## 146 RBL LT 11 9 8.968381e-02 1
## 147 RBL LP 11 8 -1.655780e-01 1
## 148 RBL RD_LR 11 7 1.262658e-01 1
## 149 RBL ShDM 11 6 6.149031e-01 0
## 150 RBL RD_AR 11 5 6.115288e-01 0
## 151 RBL RP_AR 11 4 2.429192e-01 1
## 152 RBL RhP 11 3 -1.789544e-01 1
## 153 RBL Height 11 2 4.228415e-01 0
## 154 RBL Depth 11 1 4.500939e-02 1
## 155 LT LP 12 8 7.652741e-01 0
## 156 LT RD_LR 12 7 1.706863e-01 1
## 157 LT ShDM 12 6 2.630012e-01 1
## 158 LT RD_AR 12 5 1.035804e-01 1
## 159 LT RP_AR 12 4 -6.230699e-05 1
## 160 LT RhP 12 3 1.587283e-01 1
## 161 LT Height 12 2 5.533747e-01 0
## 162 LT Depth 12 1 2.875720e-01 1
## 163 LP RD_LR 13 7 -5.223939e-02 1
## 164 LP ShDM 13 6 4.670654e-02 1
## 165 LP RD_AR 13 5 -1.516963e-01 1
## 166 LP RP_AR 13 4 -1.355511e-01 1
## 167 LP RhP 13 3 8.116432e-02 1
## 168 LP Height 13 2 2.954253e-01 1
## 169 LP Depth 13 1 3.265339e-01 1
## 170 RD_LR ShDM 14 6 3.738121e-01 0
## 171 RD_LR RD_AR 14 5 4.790250e-01 0
## 172 RD_LR RP_AR 14 4 9.414819e-02 1
## 173 RD_LR RhP 14 3 3.051825e-01 1
## 174 RD_LR Height 14 2 5.838415e-02 1
## 175 RD_LR Depth 14 1 6.057830e-02 1
## 176 ShDM RD_AR 15 5 6.279109e-01 0
## 177 ShDM RP_AR 15 4 2.516423e-01 1
## 178 ShDM RhP 15 3 5.323982e-02 1
## 179 ShDM Height 15 2 3.910207e-01 0
## 180 ShDM Depth 15 1 4.062187e-01 0
## 181 RD_AR RP_AR 16 4 4.054560e-01 0
## 182 RD_AR RhP 16 3 1.265526e-01 1
## 183 RD_AR Height 16 2 3.806440e-01 0
## 184 RD_AR Depth 16 1 3.043994e-01 1
## 185 RP_AR RhP 17 3 3.258388e-01 1
## 186 RP_AR Height 17 2 3.157228e-01 1
## 187 RP_AR Depth 17 1 4.323436e-01 0
## 188 RhP Height 18 2 3.692342e-01 1
## 189 RhP Depth 18 1 3.574167e-01 1
## 190 Height Depth 19 1 4.414894e-01 0
##
## $arg
## $arg$type
## [1] "lower"## $node
## degree closeness betweenness clustering_coefficient
## Height 8 0.07812990 46 0.3928571
## ShDM 7 0.06930042 9 0.5238095
## Depth 5 0.06437432 9 0.2000000
## RBD 5 0.05927325 17 0.6000000
## RBL 5 0.05689054 0 0.9000000
## RD_AR 6 0.06172718 11 0.4666667
## RD_LR 4 0.06175661 9 0.1666667
## RDMC_AR 7 0.06546688 12 0.3809524
## RDMC_LR 5 0.05504807 9 0.3000000
## SRL_AR 9 0.07514325 24 0.4166667
## SRL_LR 4 0.05941401 4 0.5000000
## RP_AR 2 0.04878005 0 0.0000000
## RP_LR 1 0.03983178 0 NaN
## LT 3 0.04963639 9 0.3333333
## LDMC 4 0.05695803 3 0.6666667
## SLA 3 0.04582727 7 0.3333333
## LP 2 0.03456032 0 1.0000000
## RhDMC 2 0.04584791 0 1.0000000
## LSI 6 0.06764199 23 0.4000000
##
## $global
## edge_density diameter avg_path_length avg_clustering_coefficient modularity
## 1 0.2573099 2.23915 1.005394 0.4433498 0.3055269