Generate standard error of mean

df_sem(data, x)

Arguments

data	A data frame, generally grouped by the intended sub-groups which you want to compare for the same t-test.
x	A (bare) column name of the variable which you want to get the mean, sd, and standard error of the mean (SEM).

Value

A data.frame with consisting of characters. The columns that are always present are: group variable(s), mean, sd, n, and se(SEM).

Examples

df_sem(color_index, color_index)
#> Warning: The `df_sem()` function expects a grouped data frame (i.e., from `dplyr::group_by()`). Returning the overall mean, sd, n and se.
#> # A tibble: 1 x 4
#>   mean_color_index     sd     n      se
#>              <dbl>  <dbl> <int>   <dbl>
#> 1           0.0120 0.0413   232 0.00271

library(magrittr)
color_index %>%
  df_sem(color_index)
#> Warning: The `df_sem()` function expects a grouped data frame (i.e., from `dplyr::group_by()`). Returning the overall mean, sd, n and se.
#> # A tibble: 1 x 4
#>   mean_color_index     sd     n      se
#>              <dbl>  <dbl> <int>   <dbl>
#> 1           0.0120 0.0413   232 0.00271