Add a shadow shifted column to a dataset

Shadow shift missing values using only the selected variables in a dataset, by specifying variable names or use dplyr vars and dplyr verbs starts_with, contains, ends_with, etc.

add_shadow_shift(data, ..., suffix = "shift")

Arguments

data	data.frame
...	One or more unquoted variable names separated by commas. These also respect the dplyr verbs starts_with, contains, ends_with, etc.
suffix	suffix to add to variable, defaults to "shift"

Value

data with the added variable shifted named as var_suffix

See also

bind_shadow() add_any_miss() add_label_missings() add_label_shadow() add_miss_cluster() add_n_miss() add_prop_miss() add_shadow_shift() cast_shadow()

Examples

airquality %>% add_shadow_shift(Ozone, Solar.R)
#> # A tibble: 153 x 8
#>    Ozone Solar.R  Wind  Temp Month   Day Ozone_shift Solar.R_shift
#>    <int>   <int> <dbl> <int> <int> <int>       <dbl>         <dbl>
#>  1    41     190   7.4    67     5     1        41           190  
#>  2    36     118   8      72     5     2        36           118  
#>  3    12     149  12.6    74     5     3        12           149  
#>  4    18     313  11.5    62     5     4        18           313  
#>  5    NA      NA  14.3    56     5     5       -19.7         -33.6
#>  6    28      NA  14.9    66     5     6        28           -33.1
#>  7    23     299   8.6    65     5     7        23           299  
#>  8    19      99  13.8    59     5     8        19            99  
#>  9     8      19  20.1    61     5     9         8            19  
#> 10    NA     194   8.6    69     5    10       -18.5         194  
#> # … with 143 more rows