View source: R/absolute_weighted_corr_fun.R
absolute_weighted_corr_fun | R Documentation |
Checks covariate balance based on absolute weighted correlations for given data sets.
absolute_weighted_corr_fun(w, vw, c)
w |
A vector of observed continuous exposure variable. |
vw |
A vector of weights. |
c |
A data.table of observed covariates variable. |
The function returns a list saved the measure related to covariate balance
absolute_corr
: the absolute correlations for each pre-exposure
covairates;
mean_absolute_corr
: the average absolute correlations for all
pre-exposure covairates.
set.seed(639)
n <- 100
mydata <- generate_syn_data(sample_size=100)
year <- sample(x=c("2001","2002","2003","2004","2005"),size = n,
replace = TRUE)
region <- sample(x=c("North", "South", "East", "West"),size = n,
replace = TRUE)
mydata$year <- as.factor(year)
mydata$region <- as.factor(region)
mydata$cf5 <- as.factor(mydata$cf5)
cor_val <- absolute_weighted_corr_fun(mydata[,2],
runif(n),
mydata[, 3:length(mydata)])
print(cor_val$mean_absolute_corr)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.