normalize_group_mean {cmstatr}

Normalize values to group means

Description

This function computes the mean of each group, then divides each observation by its corresponding group mean. This is commonly done when pooling data across environments.

Usage

normalize_group_mean(x, group)

Arguments

x

the variable containing the data to normalized

group

the variable containing the groups

Details

Computes the mean for each group, then divides each value by the mean for the corresponding group.

Value

Returns a vector of normalized values

References

“Composite Materials Handbook, Volume 1. Polymer Matrix Composites Guideline for Characterization of Structural Materials,” SAE International, CMH-17-1G, Mar. 2012.

Examples

library(dplyr)
carbon.fabric.2 %>%
filter(test == "WT") %>%
  select(condition, strength) %>%
  mutate(condition_norm = normalize_group_mean(strength, condition)) %>%
  head(10)

##    condition strength condition_norm
## 1        CTD  142.817      1.0542187
## 2        CTD  135.901      1.0031675
## 3        CTD  132.511      0.9781438
## 4        CTD  135.586      1.0008423
## 5        CTD  125.145      0.9237709
## 6        CTD  135.203      0.9980151
## 7        CTD  128.547      0.9488832
## 8        CTD  127.709      0.9426974
## 9        CTD  127.074      0.9380101
## 10       CTD  126.879      0.9365706