cmp_sdim_coefs: Standard deviation independent of mean
In bcjaeger/cleanRbp: Cleaner Blood Pressure Data

Description Usage Arguments Value Note Examples

View source: R/compute_sdim.R

Standard deviation independent of mean

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cmp_sdim_coefs(bp_mean, bp_sd)

cmp_sdim_values(bp_mean, bp_sd)

`bp_mean`	a numeric vector of mean blood pressure values.
`bp_sd`	a numeric vector of standard deviations corresponding to the mean blood pressure values.

cmp_sdim_coefs returns the regression coefficients from a linear model fitted to the log-transformed values of bp_mean and bp_sd (i.e., coef(lm(log_sd ~ log_mean))). cmp_sdim_values uses the regression coefficients form cmp_sdim_coefs to compute the standard deviation of blood pressure independent from the mean.

SDIM (standard deviation independent of the mean) is cohort-specific. So, if you remove a participant from the study, it will result in a new value of SDIM for everyone else.

mean_bps = runif(n = 100, min = 80, max = 190)
sd_bps   = runif(n = 100, min = 1, max = 3)
cmp_sdim_coefs(mean_bps, sd_bps)
cmp_sdim_values(mean_bps, sd_bps)