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Output
# A tibble: 3 x 6
Species estimate std.error df conf.low conf.high
<chr> <dbl> <dbl> <dbl> <dbl> <dbl>
1 setosa 6.15 0.337 143 5.49 6.82
2 versicolor 5.72 0.0668 143 5.59 5.85
3 virginica 5.41 0.149 143 5.11 5.70
Code
res
Output
$n
[1] 50
$lsmean
[1] 5.717409
attr(,"label")
[1] "Adjusted Mean"
$lsmean_diff
[1] -0.4374138
attr(,"label")
[1] "Difference in Adjusted Means"
$lsmean_diff_ci
[1] -1.4268150 0.5519873
attr(,"label")
[1] "99% CI"
$pval
[1] 0.2503574
attr(,"label")
[1] "p-value"
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res
Output
$n
[1] 20
$lsmean
[1] 4.362642
attr(,"label")
[1] "Adjusted Mean"
$lsmean_diff
character(0)
attr(,"label")
[1] "Difference in Adjusted Means"
$lsmean_diff_ci
character(0)
attr(,"label")
[1] "95% CI"
$pval
character(0)
attr(,"label")
[1] "p-value"
Code
res
Output
setosa versicolor virginica
(N=50) (N=50) (N=50)
————————————————————————————————————————————————————————————————————————————————————————
Unadjusted comparison
n 50 50 50
Mean 5.01 5.94 6.59
Difference in Means 0.93 1.58
95% CI (0.73, 1.13) (1.38, 1.79)
p-value <0.0001 <0.0001
Adjusted comparison (covariates Petal.Length)
n 50 50 50
Adjusted Mean 7.08 5.48 4.97
Difference in Adjusted Means -1.60 -2.12
95% CI (-1.98, -1.22) (-2.66, -1.58)
p-value <0.0001 <0.0001
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Output
ARM A ARM A Subgroup ARM C
(N=69) (N=73) (N=58)
———————————————————————————————————————————————————————————————
Unadjusted comparison
n 552 584 464
Mean 0.01 0.01 -0.05
Difference in Means 0.06 0.06
95% CI (-0.07, 0.19) (-0.06, 0.19)
p-value 0.3442 0.3186
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res
Output
ARM A ARM B (x) ARM C
(N=69) (N=73) (N=58)
——————————————————————————————————————————————————————————
Unadjusted comparison
n 552 584 464
Mean 0.01 0.01 -0.05
Difference in Means 0.06
95% CI (-0.07, 0.19)
p-value 0.3442
Code
res
Output
10mg/kg 20mg/kg 30mg/kg
————————————————————————————————————————————————————————————————————————
ARMCD
n 69 73 58
Adjusted Mean 6.30 6.75 6.16
Difference in Adjusted Means 0.45 -0.14
95% CI (-0.70, 1.60) (-1.36, 1.08)
p-value 0.4433 0.8214
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