Set up
1) Load packages
2) Import data
3) Data Wrangling
4) Theme James
Infiltration
Infiltration function
Infiltration
Infiltration statistics
## [1] "Single Ring"
## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## treatment 951.71 475.85 2 23.179 46.197 8.191e-09 ***
## precip 464.18 232.09 2 23.178 22.532 3.673e-06 ***
## treatment:precip 476.75 119.19 4 23.172 11.571 2.612e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "Cornell Sprinkle Infiltrometer"
## Type III Analysis of Variance Table with Satterthwaite's method
## Sum Sq Mean Sq NumDF DenDF F value Pr(>F)
## treatment 36.15 18.077 2 25 4.4263 0.02261 *
## precip 17.86 8.928 2 25 2.1862 0.13336
## treatment:precip 319.70 79.924 4 25 19.5697 2.086e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Extracting model means and pairwise comparisons
## [1] "Single Ring"
## precip = 472:
## treatment lsmean SE df lower.CL upper.CL .group
## NP 28.06 1.99 24.7 23.970 32.16 a
## EA 6.40 1.72 23.0 2.843 9.96 b
## AG 4.36 1.72 23.0 0.798 7.92 b
##
## precip = 579:
## treatment lsmean SE df lower.CL upper.CL .group
## NP 8.89 1.72 23.0 5.334 12.45 a
## EA 6.03 1.72 23.0 2.474 9.59 ab
## AG 1.84 1.72 23.0 -1.716 5.40 b
##
## precip = 850:
## treatment lsmean SE df lower.CL upper.CL .group
## NP 8.51 1.72 23.0 4.950 12.07 a
## AG 2.67 1.72 23.0 -0.892 6.23 b
## EA 2.54 1.72 23.0 -1.019 6.10 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05
## treatment precip lsmean SE df lower.CL upper.CL .group
## 1 NP 472 28.062914 1.986313 24.71643 23.9696447 32.156183 a
## 2 EA 472 6.401788 1.720460 23.01103 2.8428386 9.960737 b
## 3 AG 472 4.356709 1.720460 23.01103 0.7977601 7.915658 b
## 4 NP 579 8.892644 1.720460 23.01103 5.3336945 12.451593 a
## 5 EA 579 6.032500 1.720460 23.01103 2.4735509 9.591449 ab
## 6 AG 579 1.843352 1.720460 23.01103 -1.7155968 5.402301 b
## 8 NP 850 8.509000 1.720460 23.01103 4.9500509 12.067949 a
## 7 AG 850 2.667000 1.720460 23.01103 -0.8919491 6.225949 b
## 9 EA 850 2.540000 1.720460 23.01103 -1.0189491 6.098949 b
## [1] "Cornell Sprinkle Infiltrometer"
## precip = 472:
## treatment lsmean SE df lower.CL upper.CL .group
## NP 22.2 1.01 25 20.1 24.2 a
## AG 18.5 1.01 25 16.4 20.5 b
## EA 18.0 1.19 25 15.6 20.4 b
##
## precip = 579:
## treatment lsmean SE df lower.CL upper.CL .group
## EA 22.5 1.01 25 20.5 24.6 a
## NP 17.8 1.01 25 15.7 19.8 b
## AG 13.0 1.01 25 10.9 15.1 c
##
## precip = 850:
## treatment lsmean SE df lower.CL upper.CL .group
## AG 21.7 1.01 25 19.7 23.8 a
## NP 20.5 1.19 25 18.0 22.9 a
## EA 14.0 1.01 25 11.9 16.1 b
##
## Degrees-of-freedom method: kenward-roger
## Confidence level used: 0.95
## significance level used: alpha = 0.05
## treatment precip lsmean SE df lower.CL upper.CL .group
## 2 NP 472 22.16082 1.010455 25 20.07975 24.24189 a
## 1 AG 472 18.46192 1.010455 25 16.38085 20.54299 b
## 3 EA 472 17.99958 1.188525 25 15.55177 20.44740 b
## 4 EA 579 22.53130 1.010455 25 20.45023 24.61238 a
## 6 NP 579 17.76469 1.010455 25 15.68362 19.84576 b
## 5 AG 579 13.02804 1.010455 25 10.94697 15.10911 c
## 8 AG 850 21.73883 1.010455 25 19.65776 23.81990 a
## 9 NP 850 20.48556 1.188525 25 18.03774 22.93337 a
## 7 EA 850 14.00480 1.010455 25 11.92373 16.08587 b
Single Ring Plotting
Cornell Sprinkle Infiltrometer Plotting
