Jeremy Salfen selftext
selftext
/ generate_standard_normal_distribution.r
Last active
August 29, 2015 14:23
Generate a standard normal distribution to import into a database as a lookup table
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| library(dplyr) | |
| # create data frame of z-scores and probabilities | |
| standard_normal_distribution <- data.frame(z_score = seq(-7, 7, 0.000001), | |
| probability = pnorm(seq(-7, 7, 0.000001))) | |
| # find max number of characters (redshift has a limit of DECIMAL(38, 37)) | |
| max(nchar(standard_normal_distribution$probability)) | |
| # if necessary, round big decimals |
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| > x <- c(22.69,23.84,24.77,25.84,26.79,27.74,28.67,30.41) | |
| > y <- c(5,4,17,21,15,20,15,14) | |
| > ny <- c(9,10,11,18,7,4,3,0) | |
| > ymat <- cbind(y,ny) | |
| > m1 <- glm(ymat ~ x, family=binomial) | |
| > summary(m1) | |
| Call: | |
| glm(formula = ymat ~ x, family = binomial) |