This function is a small utility to create a specific length dataframe
with a set number of groups, specific mean/sd per group. Note that the total length
of the dataframe will be n * n_grps.
Usage
generate_df(n = 10L, n_grps = 1L, mean = c(10), sd = mean/10, with_seed = NULL)Arguments
- n
An integer indicating the number of rows per group, default to
10- n_grps
An integer indicating the number of rows per group, defaults to
1- mean
A number indicating the mean of the randomly generated values, must be a vector of equal length to the
n_grps- sd
A number indicating the standard deviation of the randomly generated values, must be a vector of equal length to the
n_grps- with_seed
A seed to make the randomization reproducible
See also
Other Utilities:
add_text_img(),
fa_icon_repeat(),
fmt_pad_num(),
fmt_pct_extra(),
fmt_symbol_first(),
gt_add_divider(),
gt_badge(),
gt_double_table(),
gt_duplicate_column(),
gt_fa_rank_change(),
gt_fa_rating(),
gt_highlight_cols(),
gt_highlight_rows(),
gt_img_border(),
gt_img_circle(),
gt_img_multi_rows(),
gt_img_rows(),
gt_index(),
gt_merge_stack(),
gt_merge_stack_color(),
gt_two_column_layout(),
gtsave_extra(),
img_header(),
pad_fn(),
tab_style_by_grp()
Examples
library(dplyr)
#>
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#>
#> filter, lag
#> The following objects are masked from ‘package:base’:
#>
#> intersect, setdiff, setequal, union
generate_df(
100L,
n_grps = 5,
mean = seq(10, 50, length.out = 5)
) %>%
group_by(grp) %>%
summarise(
mean = mean(values), # mean is approx mean
sd = sd(values), # sd is approx sd
n = n(), # each grp is of length n
# showing that the sd default of mean/10 works
`mean/sd` = round(mean / sd, 1)
)
#> # A tibble: 5 × 5
#> grp mean sd n `mean/sd`
#> <chr> <dbl> <dbl> <int> <dbl>
#> 1 grp-1 9.87 1.01 100 9.7
#> 2 grp-2 19.9 1.95 100 10.2
#> 3 grp-3 29.6 2.78 100 10.6
#> 4 grp-4 39.6 3.92 100 10.1
#> 5 grp-5 50.1 5.13 100 9.8