Calculate slopes by groups

Calculate slopes by groups

get_slope_by_group(d, group, x, y)

Arguments

d	wide,dataframe containing the
group	name of column
x, y	names of column in d containing the dependent and independent variables

Value

a dataframe with two columns, one containing the group id and one containing the estimated slope for that group

See also

get_slope(), cross_threshold()

Examples

sub02 %>%
  tidyr::pivot_wider(names_from = contrast, values_from = y) %>%
  get_slope_by_group(voxel, low, high)
#> # A tibble: 187 x 2
#>    voxel    slope
#>    <fct>    <dbl>
#>  1 191852  1.31  
#>  2 197706  1.05  
#>  3 197769  0.889 
#>  4 197842  0.823 
#>  5 197906  1.21  
#>  6 197907  2.23  
#>  7 203688  0.878 
#>  8 203689  0.730 
#>  9 203690 -0.0269
#> 10 203753  1.25  
#> # … with 177 more rows

# create group with intersection of variables
sub02 %>%
  tidyr::pivot_wider(names_from = contrast, values_from = y) %>%
  get_slope_by_group(c(voxel, sub), low, high)
#> # A tibble: 187 x 3
#>    voxel  sub     slope
#>    <fct>  <fct>   <dbl>
#>  1 191852 2      1.31  
#>  2 197706 2      1.05  
#>  3 197769 2      0.889 
#>  4 197842 2      0.823 
#>  5 197906 2      1.21  
#>  6 197907 2      2.23  
#>  7 203688 2      0.878 
#>  8 203689 2      0.730 
#>  9 203690 2     -0.0269
#> 10 203753 2      1.25  
#> # … with 177 more rows