View source: R/es_from_ANOVA_med_range_quart.R
es_from_med_min_max_quarts | R Documentation |
Convert median, range and interquartile range of two independent groups into several effect size measures
es_from_med_min_max_quarts(
q1_exp,
med_exp,
q3_exp,
min_exp,
max_exp,
n_exp,
q1_nexp,
med_nexp,
q3_nexp,
min_nexp,
max_nexp,
n_nexp,
smd_to_cor = "viechtbauer",
reverse_med
)
q1_exp |
first quartile of the experimental/exposed group. |
med_exp |
median value of the experimental/exposed group. |
q3_exp |
third quartile of the experimental/exposed group. |
min_exp |
minimum value of the experimental/exposed group. |
max_exp |
maximum value of the experimental/exposed group. |
n_exp |
number of participants in the experimental/exposed group. |
q1_nexp |
first quartile of the non-experimental/non-exposed group. |
med_nexp |
median value of the non-experimental/non-exposed group. |
q3_nexp |
third quartile of the non-experimental/non-exposed group. |
min_nexp |
minimum value of the non-experimental/non-exposed group. |
max_nexp |
maximum value of the non-experimental/non-exposed group. |
n_nexp |
number of participants in the non-experimental/non-exposed group. |
smd_to_cor |
formula used to convert the generated |
reverse_med |
a logical value indicating whether the direction of generated effect sizes should be flipped. |
This function first converts a Cohen's d (D), Hedges' g (G) and mean difference (MD) from the medians, ranges, and interquartile ranges of two independent groups. Odds ratio (OR) and correlation coefficients (R/Z) are then converted from the Cohen's d.
This function recreates means+SD of the two groups (Wan et al., 2014):
mean\_exp = \frac{min\_exp + 2*q1\_exp + 2*med\_exp + 2*q3\_exp + max\_exp}{8}
mean\_nexp = \frac{min\_nexp + 2*q1\_nexp + 2*med\_nexp + 2*q3\_nexp + max\_nexp}{8}
mean\_sd\_exp = \frac{max\_exp - min\_exp}{4*qnorm(\frac{n\_exp-0.375}{n\_exp+0.25})} + \frac{q3\_exp-q1\_exp}{4*qnorm(\frac{0.75*n\_exp-0.125}{n\_exp+0.25})}
mean\_sd\_nexp = \frac{max\_nexp - min\_nexp}{4*qnorm(\frac{n\_nexp-0.375}{n\_nexp+0.25})} + \frac{q3\_nexp-q1\_nexp}{4*qnorm(\frac{0.75*n\_nexp-0.125}{n\_nexp+0.25})}
Note that if the group sample size is inferior to 50, a correction is applied to estimate the standard deviation.
From these means+SD, the function computes MD, D and G using formulas
described in es_from_means_sd()
.
To estimate other effect size measures,
calculations of the es_from_cohen_d()
are applied.
This function estimates and converts between several effect size measures.
natural effect size measure | |
converted effect size measure | MD + D + G |
OR + R + Z | |
required input data | See 'Section 12. Median, range and/or interquartile range' |
https://metaconvert.org/input.html | |
Wan, X., Wang, W., Liu, J. et al. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol 14, 135 (2014). https://doi.org/10.1186/1471-2288-14-135
es_from_med_min_max_quarts(
min_exp = 1102, q1_exp = 1335,
med_exp = 1400, q3_exp = 1765,
max_exp = 1899, n_exp = 40,
min_nexp = 1181, q1_nexp = 1481,
med_nexp = 1625, q3_nexp = 1800,
max_nexp = 1910, n_nexp = 40
)
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