# mean_sd_cell: Mean and SD Cell FUN In etable: Easy Table

## Description

To calculate mean and SD or weighted mead and SD.

## Usage

 ```1 2``` ```mean_sd_cell(x, y, z, w, cell_ids, row_ids, col_ids, vnames, vars, n_min, digits = 3, style=1, nsd=1) ```

## Arguments

 `x` The x variable for calculations `y` NOT USED `z` NOT USED `w` Weights for x variable. `cell_ids` Index vector for selecting values in cell. `row_ids` NOT USED `col_ids` NOT USED `vnames` NOT USED `vars` NOT USED `n_min` Minimum n in the cell for useful calculation. Cells with n 68.27 % values nsd=1.645 –> 90 % values nsd=1.96 –> 95 % values nsd=2 –> 95.45 % values nsd=2.575 –> 99 % values nsd=3 –> 99.73 % values

## Author(s)

 ``` 1 2 3 4 5 6 7 8 9 10 11``` ```sex <- factor(rbinom(1000, 1, 0.4), labels=c('Men', 'Women')) height <- rnorm(1000, mean=1.66, sd=0.1) height[which(sex=='Men')]<-height[which(sex=='Men')]+0.1 weight <- rnorm(1000, mean=70, sd=5) decades <- rbinom(1000, 3, 0.5) decades <- factor(decades, labels=c('[35,45)','[45,55)','[55,65)','[65,75)')) d<-data.frame(sex, decades, height, weight) tabular.ade(x_vars=c('height', 'weight'), xname=c('Height [m]','Weight [kg]'), rows=c('sex','ALL'), rnames=c('Gender'), cols=c('decades'), cnames=c('Age decades'), data=d, FUN=mean_sd_cell, style=2, nsd=1.96) ```