Nothing
tests/testthat/_snaps/estimate_mdiff_ind_contrast.md
In esci: Estimation Statistics with Confidence Intervals
Compare estimate_mdiff_ind_contrast to ESCI_Ind_groups_contrasts, Halagappa
Code
estimate
Output
Analysis of raw data:
Outcome variable(s) = % time near target
Grouping variable(s) = Diet
---Overview---
outcome_variable_name grouping_variable_name grouping_variable_level mean
1 % time near target Diet NFree10 37.5
2 % time near target Diet AFree10 31.9
3 % time near target Diet ADiet10 41.2
4 % time near target Diet NFree17 33.4
5 % time near target Diet AFree17 29.9
6 % time near target Diet ADiet17 38.3
mean_LL mean_UL sd n df mean_SE
1 32.32519 42.67481 10.0 19 108 2.610673
2 26.72519 37.07481 13.5 19 108 2.610673
3 36.02519 46.37481 14.8 19 108 2.610673
4 28.22519 38.57481 10.0 19 108 2.610673
5 24.72519 35.07481 8.7 19 108 2.610673
6 33.12519 43.47481 10.0 19 108 2.610673
-- es_mean_difference --
type outcome_variable_name grouping_variable_name
1 Comparison % time near target Diet
2 Reference % time near target Diet
3 Difference % time near target Diet
effect
1 (NFree10 and AFree10 and AFree17)
2 (ADiet10 and NFree17 and ADiet17)
3 (NFree10 and AFree10 and AFree17) ‒ (ADiet10 and NFree17 and ADiet17)
effect_size LL UL SE df ta_LL ta_UL
1 33.100000 30.112324 36.0876762 1.507273 108 30.599306 35.6006939
2 37.633333 34.645657 40.6210095 1.507273 108 35.132639 40.1340273
3 -4.533333 -8.758546 -0.3081211 2.131606 108 -8.069849 -0.9968181
-- es_smd --
outcome_variable_name grouping_variable_name
1 % time near target Diet
effect
1 (NFree10 and AFree10 and AFree17) ‒ (ADiet10 and NFree17 and ADiet17)
effect_size LL UL numerator denominator SE df
1 -0.3955976 -0.7655978 -0.02380328 -4.533333 11.37966 0.1892368 108
d_biased
1 -0.3983716
This standardized mean difference is called d_s because the standardizer used was s_p. d_s has been corrected for bias. Correction for bias can be important when df < 50. See the rightmost column for the biased value.
Note: LL and UL are lower and upper boundaries of confidence intervals with 95% expected coverage.
Code
estimate_99
Output
Analysis of raw data:
Outcome variable(s) = % time near target
Grouping variable(s) = Diet
---Overview---
outcome_variable_name grouping_variable_name grouping_variable_level mean
1 % time near target Diet NFree10 37.5
2 % time near target Diet AFree10 31.9
3 % time near target Diet ADiet10 41.2
4 % time near target Diet NFree17 33.4
5 % time near target Diet AFree17 29.9
6 % time near target Diet ADiet17 38.3
mean_LL mean_UL sd n df mean_SE
1 30.6545 44.3455 10.0 19 108 2.610673
2 25.0545 38.7455 13.5 19 108 2.610673
3 34.3545 48.0455 14.8 19 108 2.610673
4 26.5545 40.2455 10.0 19 108 2.610673
5 23.0545 36.7455 8.7 19 108 2.610673
6 31.4545 45.1455 10.0 19 108 2.610673
-- es_mean_difference --
type outcome_variable_name grouping_variable_name
1 Comparison % time near target Diet
2 Reference % time near target Diet
3 Difference % time near target Diet
effect
1 (NFree10 and AFree10 and AFree17)
2 (ADiet10 and NFree17 and ADiet17)
3 (NFree10 and AFree10 and AFree17) ‒ (ADiet10 and NFree17 and ADiet17)
effect_size LL UL SE df ta_LL ta_UL
1 33.100000 29.14775 37.052250 1.507273 108 29.540768 36.6592320
2 37.633333 33.68108 41.585584 1.507273 108 34.074101 41.1925653
3 -4.533333 -10.12266 1.055993 2.131606 108 -9.566847 0.5001808
-- es_smd --
outcome_variable_name grouping_variable_name
1 % time near target Diet
effect
1 (NFree10 and AFree10 and AFree17) ‒ (ADiet10 and NFree17 and ADiet17)
effect_size LL UL numerator denominator SE df
1 -0.3955976 -0.8821595 0.0927238 -4.533333 11.37966 0.1892368 108
d_biased
1 -0.3983716
This standardized mean difference is called d_s because the standardizer used was s_p. d_s has been corrected for bias. Correction for bias can be important when df < 50. See the rightmost column for the biased value.
Note: LL and UL are lower and upper boundaries of confidence intervals with 99% expected coverage.
Code
mytest
Output
$properties
$properties$effect_size_name
[1] "mean"
$properties$alpha
[1] 0.05
$properties$interval_null
[1] FALSE
$properties$rope
[1] 0 0
$properties$rope_units
[1] "raw"
$point_null
test_type outcome_variable_name
1 Nil Hypothesis Test % time near target
effect
1 (NFree10 and AFree10 and AFree17) ‒ (ADiet10 and NFree17 and ADiet17)
null_words confidence LL UL CI
1 0.00 95 -8.758546 -0.3081211 95% CI [-8.758546, -0.3081211]
CI_compare t df p p_result
1 The 95% CI does not contain H_0 -2.126722 108 0.0357203 p < 0.05
null_decision conclusion
1 Reject H_0 At α = 0.05, 0.00 is not a plausible value of μ_diff
significant
1 TRUE
Test different call types to estimate_mdiff_ind_contrasts and compare to statpsych::ci.lc.median.bs
Code
from_vector
Output
Analysis of raw data:
Outcome variable(s) = rattan_motivation
Grouping variable(s) = rattan_condition
---Overview---
outcome_variable_name grouping_variable_name grouping_variable_level mean
1 rattan_motivation rattan_condition Chaling 5.264706
2 rattan_motivation rattan_condition Comfort 3.333333
3 rattan_motivation rattan_condition Control 4.447368
mean_LL mean_UL median median_LL median_UL sd min max q1 q3 n
1 4.478385 6.051027 5.50 4.713293 6.286707 1.448249 2 7.0 4.50 6.000 17
2 2.569166 4.097500 3.25 1.434014 5.065986 1.917412 1 6.0 1.50 5.375 18
3 3.703583 5.191154 4.50 3.244372 5.755628 1.432701 2 6.5 3.25 6.000 19
missing df mean_SE median_SE
1 0 51 0.3916755 0.4013886
2 0 51 0.3806401 0.9265407
3 0 51 0.3704879 0.6406383
-- es_mean_difference --
type outcome_variable_name grouping_variable_name
1 Comparison rattan_motivation rattan_condition
2 Reference rattan_motivation rattan_condition
3 Difference rattan_motivation rattan_condition
effect effect_size LL UL SE df
1 Chaling 5.264706 4.4783846 6.051027 0.3916755 51
2 (Comfort and Control) 3.890351 3.3571605 4.423541 0.2655881 51
3 Chaling ‒ (Comfort and Control) 1.374355 0.4243059 2.324404 0.4732301 51
ta_LL ta_UL
1 4.6085379 5.920874
2 3.4454151 4.335287
3 0.5815597 2.167150
-- es_median_difference --
type outcome_variable_name grouping_variable_name
1 Comparison rattan_motivation rattan_condition
2 Reference rattan_motivation rattan_condition
3 Difference rattan_motivation rattan_condition
effect effect_size LL UL SE
1 Chaling 5.500 4.713293 6.286707 0.4013886
2 (Comfort and Control) 3.875 2.771097 4.978903 0.5632262
3 Chaling ‒ (Comfort and Control) 1.625 0.269452 2.980548 0.6916188
ta_LL ta_UL
1 4.8397745 6.160226
2 2.9485753 4.801425
3 0.4873882 2.762612
-- es_smd --
outcome_variable_name grouping_variable_name effect
1 rattan_motivation rattan_condition Chaling ‒ (Comfort and Control)
effect_size LL UL numerator denominator SE df d_biased
1 0.838449 0.2378052 1.431475 1.374355 1.614919 0.3045133 51 0.8510363
This standardized mean difference is called d_s because the standardizer used was s_p. d_s has been corrected for bias. Correction for bias can be important when df < 50. See the rightmost column for the biased value.
Note: LL and UL are lower and upper boundaries of confidence intervals with 95% expected coverage.
Code
from_df_nc
Output
Analysis of raw data:
Data frame = data
Outcome variable(s) = motivation
Grouping variable(s) = condition
---Overview---
outcome_variable_name grouping_variable_name grouping_variable_level mean
1 motivation condition Chaling 5.264706
2 motivation condition Comfort 3.333333
3 motivation condition Control 4.447368
mean_LL mean_UL median median_LL median_UL sd min max q1 q3 n
1 4.520085 6.009327 5.50 4.713293 6.286707 1.448249 2 7.0 4.50 6.000 17
2 2.379827 4.286840 3.25 1.434014 5.065986 1.917412 1 6.0 1.50 5.375 18
3 3.756829 5.137908 4.50 3.244372 5.755628 1.432701 2 6.5 3.25 6.000 19
missing df mean_SE median_SE
1 0 16 0.3512521 0.4013886
2 0 17 0.4519385 0.9265407
3 0 18 0.3286841 0.6406383
Note: LL and UL are lower and upper boundaries of confidence intervals with 95% expected coverage.
Code
from_df
Output
Analysis of raw data:
Data frame = data
Outcome variable(s) = motivation
Grouping variable(s) = condition
---Overview---
outcome_variable_name grouping_variable_name grouping_variable_level mean
1 motivation condition Chaling 5.264706
2 motivation condition Comfort 3.333333
3 motivation condition Control 4.447368
mean_LL mean_UL median median_LL median_UL sd min max q1 q3 n
1 4.520085 6.009327 5.50 4.713293 6.286707 1.448249 2 7.0 4.50 6.000 17
2 2.379827 4.286840 3.25 1.434014 5.065986 1.917412 1 6.0 1.50 5.375 18
3 3.756829 5.137908 4.50 3.244372 5.755628 1.432701 2 6.5 3.25 6.000 19
missing df mean_SE median_SE
1 0 16 0.3512521 0.4013886
2 0 17 0.4519385 0.9265407
3 0 18 0.3286841 0.6406383
-- es_mean_difference --
type outcome_variable_name grouping_variable_name
1 Comparison motivation condition
2 Reference motivation condition
3 Difference motivation condition
effect effect_size LL UL SE
1 Chaling 5.264706 4.520085 6.009327 0.3512521
2 (Comfort and Control) 3.890351 3.320808 4.459894 0.2794108
3 Chaling ‒ (Comfort and Control) 1.374355 0.463580 2.285130 0.4488301
df ta_LL ta_UL
1 16.00000 4.6514606 5.877951
2 31.43404 3.4168059 4.363896
3 35.43363 0.6162763 2.132434
-- es_median_difference --
type outcome_variable_name grouping_variable_name
1 Comparison motivation condition
2 Reference motivation condition
3 Difference motivation condition
effect effect_size LL UL SE
1 Chaling 5.500 4.713293 6.286707 0.4013886
2 (Comfort and Control) 3.875 2.771097 4.978903 0.5632262
3 Chaling ‒ (Comfort and Control) 1.625 0.269452 2.980548 0.6916188
ta_LL ta_UL
1 4.8397745 6.160226
2 2.9485753 4.801425
3 0.4873882 2.762612
-- es_smd --
outcome_variable_name grouping_variable_name effect
1 motivation condition Chaling ‒ (Comfort and Control)
effect_size LL UL numerator denominator SE df d_biased
1 0.8383183 0.2641892 1.437597 1.374355 1.615191 0.2993442 51 0.850893
This standardized mean difference is called d_avg because the standardizer used was s_avg. d_avg has been corrected for bias. Correction for bias can be important when df < 50. See the rightmost column for the biased value.
Note: LL and UL are lower and upper boundaries of confidence intervals with 95% expected coverage.
Code
from_tidy
Output
Analysis of raw data:
Data frame = data
Outcome variable(s) = motivation
Grouping variable(s) = condition
---Overview---
outcome_variable_name grouping_variable_name grouping_variable_level mean
1 motivation condition Chaling 5.264706
2 motivation condition Comfort 3.333333
3 motivation condition Control 4.447368
mean_LL mean_UL median median_LL median_UL sd min max q1 q3 n
1 4.520085 6.009327 5.50 4.713293 6.286707 1.448249 2 7.0 4.50 6.000 17
2 2.379827 4.286840 3.25 1.434014 5.065986 1.917412 1 6.0 1.50 5.375 18
3 3.756829 5.137908 4.50 3.244372 5.755628 1.432701 2 6.5 3.25 6.000 19
missing df mean_SE median_SE
1 0 16 0.3512521 0.4013886
2 0 17 0.4519385 0.9265407
3 0 18 0.3286841 0.6406383
-- es_mean_difference --
type outcome_variable_name grouping_variable_name
1 Comparison motivation condition
2 Reference motivation condition
3 Difference motivation condition
effect effect_size LL UL SE
1 Chaling 5.264706 4.520085 6.009327 0.3512521
2 (Comfort and Control) 3.890351 3.320808 4.459894 0.2794108
3 Chaling ‒ (Comfort and Control) 1.374355 0.463580 2.285130 0.4488301
df ta_LL ta_UL
1 16.00000 4.6514606 5.877951
2 31.43404 3.4168059 4.363896
3 35.43363 0.6162763 2.132434
-- es_median_difference --
type outcome_variable_name grouping_variable_name
1 Comparison motivation condition
2 Reference motivation condition
3 Difference motivation condition
effect effect_size LL UL SE
1 Chaling 5.500 4.713293 6.286707 0.4013886
2 (Comfort and Control) 3.875 2.771097 4.978903 0.5632262
3 Chaling ‒ (Comfort and Control) 1.625 0.269452 2.980548 0.6916188
ta_LL ta_UL
1 4.8397745 6.160226
2 2.9485753 4.801425
3 0.4873882 2.762612
-- es_smd --
outcome_variable_name grouping_variable_name effect
1 motivation condition Chaling ‒ (Comfort and Control)
effect_size LL UL numerator denominator SE df d_biased
1 0.8383183 0.2641892 1.437597 1.374355 1.615191 0.2993442 51 0.850893
This standardized mean difference is called d_avg because the standardizer used was s_avg. d_avg has been corrected for bias. Correction for bias can be important when df < 50. See the rightmost column for the biased value.
Note: LL and UL are lower and upper boundaries of confidence intervals with 95% expected coverage.
Compare estimate_mdiff_ind_contrast to statpsych::ci.lc.median example and
Code
estimate
Output
Analysis of raw data:
Outcome variable(s) = My outcome variable
Grouping variable(s) = My grouping variable
---Overview---
outcome_variable_name grouping_variable_name grouping_variable_level mean
1 My outcome variable My grouping variable G1 33.5
2 My outcome variable My grouping variable G2 37.9
3 My outcome variable My grouping variable G3 38.0
4 My outcome variable My grouping variable G4 44.1
mean_LL mean_UL sd n df mean_SE
1 29.55368 37.44632 3.84 10 9 1.214315
2 33.95368 41.84632 3.84 10 9 1.214315
3 34.24894 41.75106 3.65 10 9 1.154231
4 38.98211 49.21789 4.98 10 9 1.574814
-- es_mean_difference --
type outcome_variable_name grouping_variable_name
1 Comparison My outcome variable My grouping variable
2 Reference My outcome variable My grouping variable
3 Difference My outcome variable My grouping variable
effect effect_size LL UL SE df
1 (G1 and G2) 35.70 33.228427 38.171573 0.8586501 18.00000
2 (G3 and G4) 41.05 38.210040 43.889960 0.9762543 16.50397
3 (G1 and G2) ‒ (G3 and G4) -5.35 -8.900269 -1.799731 1.3001356 33.52169
ta_LL ta_UL
1 33.508399 37.891601
2 38.536272 43.563728
3 -8.526055 -2.173945
-- es_smd --
outcome_variable_name grouping_variable_name effect
1 My outcome variable My grouping variable (G1 and G2) ‒ (G3 and G4)
effect_size LL UL numerator denominator SE df d_biased
1 -1.273964 -2.252465 -0.3500611 -5.35 4.11139 0.36928 36 -1.301263
This standardized mean difference is called d_avg because the standardizer used was s_avg. d_avg has been corrected for bias. Correction for bias can be important when df < 50. See the rightmost column for the biased value.
Note: LL and UL are lower and upper boundaries of confidence intervals with 99% expected coverage.
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Compare estimate_mdiff_ind_contrast to ESCI_Ind_groups_contrasts, Halagappa
Code
estimate
Output
Analysis of raw data:
Outcome variable(s) = % time near target
Grouping variable(s) = Diet
---Overview---
outcome_variable_name grouping_variable_name grouping_variable_level mean
1 % time near target Diet NFree10 37.5
2 % time near target Diet AFree10 31.9
3 % time near target Diet ADiet10 41.2
4 % time near target Diet NFree17 33.4
5 % time near target Diet AFree17 29.9
6 % time near target Diet ADiet17 38.3
mean_LL mean_UL sd n df mean_SE
1 32.32519 42.67481 10.0 19 108 2.610673
2 26.72519 37.07481 13.5 19 108 2.610673
3 36.02519 46.37481 14.8 19 108 2.610673
4 28.22519 38.57481 10.0 19 108 2.610673
5 24.72519 35.07481 8.7 19 108 2.610673
6 33.12519 43.47481 10.0 19 108 2.610673
-- es_mean_difference --
type outcome_variable_name grouping_variable_name
1 Comparison % time near target Diet
2 Reference % time near target Diet
3 Difference % time near target Diet
effect
1 (NFree10 and AFree10 and AFree17)
2 (ADiet10 and NFree17 and ADiet17)
3 (NFree10 and AFree10 and AFree17) ‒ (ADiet10 and NFree17 and ADiet17)
effect_size LL UL SE df ta_LL ta_UL
1 33.100000 30.112324 36.0876762 1.507273 108 30.599306 35.6006939
2 37.633333 34.645657 40.6210095 1.507273 108 35.132639 40.1340273
3 -4.533333 -8.758546 -0.3081211 2.131606 108 -8.069849 -0.9968181
-- es_smd --
outcome_variable_name grouping_variable_name
1 % time near target Diet
effect
1 (NFree10 and AFree10 and AFree17) ‒ (ADiet10 and NFree17 and ADiet17)
effect_size LL UL numerator denominator SE df
1 -0.3955976 -0.7655978 -0.02380328 -4.533333 11.37966 0.1892368 108
d_biased
1 -0.3983716
This standardized mean difference is called d_s because the standardizer used was s_p. d_s has been corrected for bias. Correction for bias can be important when df < 50. See the rightmost column for the biased value.
Note: LL and UL are lower and upper boundaries of confidence intervals with 95% expected coverage.
Code
estimate_99
Output
Analysis of raw data:
Outcome variable(s) = % time near target
Grouping variable(s) = Diet
---Overview---
outcome_variable_name grouping_variable_name grouping_variable_level mean
1 % time near target Diet NFree10 37.5
2 % time near target Diet AFree10 31.9
3 % time near target Diet ADiet10 41.2
4 % time near target Diet NFree17 33.4
5 % time near target Diet AFree17 29.9
6 % time near target Diet ADiet17 38.3
mean_LL mean_UL sd n df mean_SE
1 30.6545 44.3455 10.0 19 108 2.610673
2 25.0545 38.7455 13.5 19 108 2.610673
3 34.3545 48.0455 14.8 19 108 2.610673
4 26.5545 40.2455 10.0 19 108 2.610673
5 23.0545 36.7455 8.7 19 108 2.610673
6 31.4545 45.1455 10.0 19 108 2.610673
-- es_mean_difference --
type outcome_variable_name grouping_variable_name
1 Comparison % time near target Diet
2 Reference % time near target Diet
3 Difference % time near target Diet
effect
1 (NFree10 and AFree10 and AFree17)
2 (ADiet10 and NFree17 and ADiet17)
3 (NFree10 and AFree10 and AFree17) ‒ (ADiet10 and NFree17 and ADiet17)
effect_size LL UL SE df ta_LL ta_UL
1 33.100000 29.14775 37.052250 1.507273 108 29.540768 36.6592320
2 37.633333 33.68108 41.585584 1.507273 108 34.074101 41.1925653
3 -4.533333 -10.12266 1.055993 2.131606 108 -9.566847 0.5001808
-- es_smd --
outcome_variable_name grouping_variable_name
1 % time near target Diet
effect
1 (NFree10 and AFree10 and AFree17) ‒ (ADiet10 and NFree17 and ADiet17)
effect_size LL UL numerator denominator SE df
1 -0.3955976 -0.8821595 0.0927238 -4.533333 11.37966 0.1892368 108
d_biased
1 -0.3983716
This standardized mean difference is called d_s because the standardizer used was s_p. d_s has been corrected for bias. Correction for bias can be important when df < 50. See the rightmost column for the biased value.
Note: LL and UL are lower and upper boundaries of confidence intervals with 99% expected coverage.
Code
mytest
Output
$properties
$properties$effect_size_name
[1] "mean"
$properties$alpha
[1] 0.05
$properties$interval_null
[1] FALSE
$properties$rope
[1] 0 0
$properties$rope_units
[1] "raw"
$point_null
test_type outcome_variable_name
1 Nil Hypothesis Test % time near target
effect
1 (NFree10 and AFree10 and AFree17) ‒ (ADiet10 and NFree17 and ADiet17)
null_words confidence LL UL CI
1 0.00 95 -8.758546 -0.3081211 95% CI [-8.758546, -0.3081211]
CI_compare t df p p_result
1 The 95% CI does not contain H_0 -2.126722 108 0.0357203 p < 0.05
null_decision conclusion
1 Reject H_0 At α = 0.05, 0.00 is not a plausible value of μ_diff
significant
1 TRUE
Test different call types to estimate_mdiff_ind_contrasts and compare to statpsych::ci.lc.median.bs
Code
from_vector
Output
Analysis of raw data:
Outcome variable(s) = rattan_motivation
Grouping variable(s) = rattan_condition
---Overview---
outcome_variable_name grouping_variable_name grouping_variable_level mean
1 rattan_motivation rattan_condition Chaling 5.264706
2 rattan_motivation rattan_condition Comfort 3.333333
3 rattan_motivation rattan_condition Control 4.447368
mean_LL mean_UL median median_LL median_UL sd min max q1 q3 n
1 4.478385 6.051027 5.50 4.713293 6.286707 1.448249 2 7.0 4.50 6.000 17
2 2.569166 4.097500 3.25 1.434014 5.065986 1.917412 1 6.0 1.50 5.375 18
3 3.703583 5.191154 4.50 3.244372 5.755628 1.432701 2 6.5 3.25 6.000 19
missing df mean_SE median_SE
1 0 51 0.3916755 0.4013886
2 0 51 0.3806401 0.9265407
3 0 51 0.3704879 0.6406383
-- es_mean_difference --
type outcome_variable_name grouping_variable_name
1 Comparison rattan_motivation rattan_condition
2 Reference rattan_motivation rattan_condition
3 Difference rattan_motivation rattan_condition
effect effect_size LL UL SE df
1 Chaling 5.264706 4.4783846 6.051027 0.3916755 51
2 (Comfort and Control) 3.890351 3.3571605 4.423541 0.2655881 51
3 Chaling ‒ (Comfort and Control) 1.374355 0.4243059 2.324404 0.4732301 51
ta_LL ta_UL
1 4.6085379 5.920874
2 3.4454151 4.335287
3 0.5815597 2.167150
-- es_median_difference --
type outcome_variable_name grouping_variable_name
1 Comparison rattan_motivation rattan_condition
2 Reference rattan_motivation rattan_condition
3 Difference rattan_motivation rattan_condition
effect effect_size LL UL SE
1 Chaling 5.500 4.713293 6.286707 0.4013886
2 (Comfort and Control) 3.875 2.771097 4.978903 0.5632262
3 Chaling ‒ (Comfort and Control) 1.625 0.269452 2.980548 0.6916188
ta_LL ta_UL
1 4.8397745 6.160226
2 2.9485753 4.801425
3 0.4873882 2.762612
-- es_smd --
outcome_variable_name grouping_variable_name effect
1 rattan_motivation rattan_condition Chaling ‒ (Comfort and Control)
effect_size LL UL numerator denominator SE df d_biased
1 0.838449 0.2378052 1.431475 1.374355 1.614919 0.3045133 51 0.8510363
This standardized mean difference is called d_s because the standardizer used was s_p. d_s has been corrected for bias. Correction for bias can be important when df < 50. See the rightmost column for the biased value.
Note: LL and UL are lower and upper boundaries of confidence intervals with 95% expected coverage.
Code
from_df_nc
Output
Analysis of raw data:
Data frame = data
Outcome variable(s) = motivation
Grouping variable(s) = condition
---Overview---
outcome_variable_name grouping_variable_name grouping_variable_level mean
1 motivation condition Chaling 5.264706
2 motivation condition Comfort 3.333333
3 motivation condition Control 4.447368
mean_LL mean_UL median median_LL median_UL sd min max q1 q3 n
1 4.520085 6.009327 5.50 4.713293 6.286707 1.448249 2 7.0 4.50 6.000 17
2 2.379827 4.286840 3.25 1.434014 5.065986 1.917412 1 6.0 1.50 5.375 18
3 3.756829 5.137908 4.50 3.244372 5.755628 1.432701 2 6.5 3.25 6.000 19
missing df mean_SE median_SE
1 0 16 0.3512521 0.4013886
2 0 17 0.4519385 0.9265407
3 0 18 0.3286841 0.6406383
Note: LL and UL are lower and upper boundaries of confidence intervals with 95% expected coverage.
Code
from_df
Output
Analysis of raw data:
Data frame = data
Outcome variable(s) = motivation
Grouping variable(s) = condition
---Overview---
outcome_variable_name grouping_variable_name grouping_variable_level mean
1 motivation condition Chaling 5.264706
2 motivation condition Comfort 3.333333
3 motivation condition Control 4.447368
mean_LL mean_UL median median_LL median_UL sd min max q1 q3 n
1 4.520085 6.009327 5.50 4.713293 6.286707 1.448249 2 7.0 4.50 6.000 17
2 2.379827 4.286840 3.25 1.434014 5.065986 1.917412 1 6.0 1.50 5.375 18
3 3.756829 5.137908 4.50 3.244372 5.755628 1.432701 2 6.5 3.25 6.000 19
missing df mean_SE median_SE
1 0 16 0.3512521 0.4013886
2 0 17 0.4519385 0.9265407
3 0 18 0.3286841 0.6406383
-- es_mean_difference --
type outcome_variable_name grouping_variable_name
1 Comparison motivation condition
2 Reference motivation condition
3 Difference motivation condition
effect effect_size LL UL SE
1 Chaling 5.264706 4.520085 6.009327 0.3512521
2 (Comfort and Control) 3.890351 3.320808 4.459894 0.2794108
3 Chaling ‒ (Comfort and Control) 1.374355 0.463580 2.285130 0.4488301
df ta_LL ta_UL
1 16.00000 4.6514606 5.877951
2 31.43404 3.4168059 4.363896
3 35.43363 0.6162763 2.132434
-- es_median_difference --
type outcome_variable_name grouping_variable_name
1 Comparison motivation condition
2 Reference motivation condition
3 Difference motivation condition
effect effect_size LL UL SE
1 Chaling 5.500 4.713293 6.286707 0.4013886
2 (Comfort and Control) 3.875 2.771097 4.978903 0.5632262
3 Chaling ‒ (Comfort and Control) 1.625 0.269452 2.980548 0.6916188
ta_LL ta_UL
1 4.8397745 6.160226
2 2.9485753 4.801425
3 0.4873882 2.762612
-- es_smd --
outcome_variable_name grouping_variable_name effect
1 motivation condition Chaling ‒ (Comfort and Control)
effect_size LL UL numerator denominator SE df d_biased
1 0.8383183 0.2641892 1.437597 1.374355 1.615191 0.2993442 51 0.850893
This standardized mean difference is called d_avg because the standardizer used was s_avg. d_avg has been corrected for bias. Correction for bias can be important when df < 50. See the rightmost column for the biased value.
Note: LL and UL are lower and upper boundaries of confidence intervals with 95% expected coverage.
Code
from_tidy
Output
Analysis of raw data:
Data frame = data
Outcome variable(s) = motivation
Grouping variable(s) = condition
---Overview---
outcome_variable_name grouping_variable_name grouping_variable_level mean
1 motivation condition Chaling 5.264706
2 motivation condition Comfort 3.333333
3 motivation condition Control 4.447368
mean_LL mean_UL median median_LL median_UL sd min max q1 q3 n
1 4.520085 6.009327 5.50 4.713293 6.286707 1.448249 2 7.0 4.50 6.000 17
2 2.379827 4.286840 3.25 1.434014 5.065986 1.917412 1 6.0 1.50 5.375 18
3 3.756829 5.137908 4.50 3.244372 5.755628 1.432701 2 6.5 3.25 6.000 19
missing df mean_SE median_SE
1 0 16 0.3512521 0.4013886
2 0 17 0.4519385 0.9265407
3 0 18 0.3286841 0.6406383
-- es_mean_difference --
type outcome_variable_name grouping_variable_name
1 Comparison motivation condition
2 Reference motivation condition
3 Difference motivation condition
effect effect_size LL UL SE
1 Chaling 5.264706 4.520085 6.009327 0.3512521
2 (Comfort and Control) 3.890351 3.320808 4.459894 0.2794108
3 Chaling ‒ (Comfort and Control) 1.374355 0.463580 2.285130 0.4488301
df ta_LL ta_UL
1 16.00000 4.6514606 5.877951
2 31.43404 3.4168059 4.363896
3 35.43363 0.6162763 2.132434
-- es_median_difference --
type outcome_variable_name grouping_variable_name
1 Comparison motivation condition
2 Reference motivation condition
3 Difference motivation condition
effect effect_size LL UL SE
1 Chaling 5.500 4.713293 6.286707 0.4013886
2 (Comfort and Control) 3.875 2.771097 4.978903 0.5632262
3 Chaling ‒ (Comfort and Control) 1.625 0.269452 2.980548 0.6916188
ta_LL ta_UL
1 4.8397745 6.160226
2 2.9485753 4.801425
3 0.4873882 2.762612
-- es_smd --
outcome_variable_name grouping_variable_name effect
1 motivation condition Chaling ‒ (Comfort and Control)
effect_size LL UL numerator denominator SE df d_biased
1 0.8383183 0.2641892 1.437597 1.374355 1.615191 0.2993442 51 0.850893
This standardized mean difference is called d_avg because the standardizer used was s_avg. d_avg has been corrected for bias. Correction for bias can be important when df < 50. See the rightmost column for the biased value.
Note: LL and UL are lower and upper boundaries of confidence intervals with 95% expected coverage.
Compare estimate_mdiff_ind_contrast to statpsych::ci.lc.median example and
Code
estimate
Output
Analysis of raw data:
Outcome variable(s) = My outcome variable
Grouping variable(s) = My grouping variable
---Overview---
outcome_variable_name grouping_variable_name grouping_variable_level mean
1 My outcome variable My grouping variable G1 33.5
2 My outcome variable My grouping variable G2 37.9
3 My outcome variable My grouping variable G3 38.0
4 My outcome variable My grouping variable G4 44.1
mean_LL mean_UL sd n df mean_SE
1 29.55368 37.44632 3.84 10 9 1.214315
2 33.95368 41.84632 3.84 10 9 1.214315
3 34.24894 41.75106 3.65 10 9 1.154231
4 38.98211 49.21789 4.98 10 9 1.574814
-- es_mean_difference --
type outcome_variable_name grouping_variable_name
1 Comparison My outcome variable My grouping variable
2 Reference My outcome variable My grouping variable
3 Difference My outcome variable My grouping variable
effect effect_size LL UL SE df
1 (G1 and G2) 35.70 33.228427 38.171573 0.8586501 18.00000
2 (G3 and G4) 41.05 38.210040 43.889960 0.9762543 16.50397
3 (G1 and G2) ‒ (G3 and G4) -5.35 -8.900269 -1.799731 1.3001356 33.52169
ta_LL ta_UL
1 33.508399 37.891601
2 38.536272 43.563728
3 -8.526055 -2.173945
-- es_smd --
outcome_variable_name grouping_variable_name effect
1 My outcome variable My grouping variable (G1 and G2) ‒ (G3 and G4)
effect_size LL UL numerator denominator SE df d_biased
1 -1.273964 -2.252465 -0.3500611 -5.35 4.11139 0.36928 36 -1.301263
This standardized mean difference is called d_avg because the standardizer used was s_avg. d_avg has been corrected for bias. Correction for bias can be important when df < 50. See the rightmost column for the biased value.
Note: LL and UL are lower and upper boundaries of confidence intervals with 99% expected coverage.
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