TRAINING LOAD vs. RECOVERY SCORE

7-Day Table

fulldf %>%
mutate(Date2 = ymd(Date)) %>%
filter(between(Date2, today() - days(180), today() )) %>%
rename(DateOld = Date) %>%
rename(Date = Date2) %>%
mutate(percent_rank_sRPE = rank(sRPE)/length(sRPE))

# A tibble: 181 × 33
   DateOld             Sleep `Sleep (hrs)`   HRV Respirations   RHR Energy
   <dttm>              <dbl>         <dbl> <dbl>        <dbl> <dbl>  <dbl>
 1 2023-04-04 00:00:00   396          6.6     51         13.9    51      8
 2 2023-04-05 00:00:00   389          6.48    49         13.6    49      8
 3 2023-04-06 00:00:00   416          6.93    44         14.2    50      7
 4 2023-04-07 00:00:00   379          6.32    30         14.2    55      6
 5 2023-04-08 00:00:00   466          7.77    57         15.1    51      8
 6 2023-04-09 00:00:00   380          6.33    32         14.1    52      7
 7 2023-04-10 00:00:00   390          6.5     52         14.1    54      4
 8 2023-04-11 00:00:00   337          5.62    50         14.5    52      5
 9 2023-04-12 00:00:00   386          6.43    45         14      51      4
10 2023-04-13 00:00:00   388          6.47    38         13.6    52      5
   Soreness Wellness   TSS   KJs Tonnage  sRPE `Strength Training`   Run
      <dbl>    <dbl> <dbl> <dbl>   <dbl> <dbl>               <dbl> <dbl>
 1        5       13     0     0    8105   370                   1     1
 2        5       13     0     0    4155   358                   1     1
 3        5       12     0     0    2000   372                   1     1
 4        4       10     0     0    8640   162                   1     0
 5        5       13     0     0       0   368                   0     1
 6        6       13     0     0       0   600                   0     1
 7        5        9     0     0    3600   132                   1     0
 8        5       10     0     0    7485   477                   1     1
 9        5        9     0     0    3980   124                   1     0
10        6       11     0     0    2160   286                   1     1
   `Mountain Bike` `Road Bike` `Indoor Bike` Run_sRPE Strength_sRPE Cond_sRPE
             <dbl>       <dbl>         <dbl>    <dbl>         <dbl>     <dbl>
 1               0           0             0      150           220       150
 2               0           0             0      205           153       205
 3               0           0             0      132           240       132
 4               0           0             0        0           162         0
 5               0           0             0      368             0       368
 6               1           0             0      150             0       600
 7               0           0             0        0           132         0
 8               0           0             0      252           225       252
 9               0           0             0        0           124         0
10               0           0             0      115           171       115
   chronic_sRPE acute_sRPE chronic_HRV acute_HRV chronic_RHR acute_RHR
          <dbl>      <dbl>       <dbl>     <dbl>       <dbl>     <dbl>
 1         259.       294.        37.8      39          52.4      53.3
 2         267.       330.        38.4      41.4        52.3      52.6
 3         276.       332.        38.6      42.9        52.3      52  
 4         269.       339.        38.2      42          52.5      52.3
 5         272.       352.        38.5      45.4        52.6      51.7
 6         273.       401.        38.4      43.9        52.5      51.6
 7         275.       337.        39.1      45          52.5      51.7
 8         282.       353.        39.2      44.9        52.6      51.9
 9         277.       319.        39.4      44.3        52.6      52.1
10         282.       307         39.5      43.4        52.6      52.4
   rolling_energy rolling_sore  ACWR digits Date       percent_rank_sRPE
            <dbl>        <dbl> <dbl>  <dbl> <date>                 <dbl>
 1           6.07         6.71  1.14      2 2023-04-04            0.696 
 2           6.14         6.43  1.24      2 2023-04-05            0.652 
 3           6.36         6.21  1.20      2 2023-04-06            0.707 
 4           6.5          6     1.26      2 2023-04-07            0.116 
 5           6.64         5.86  1.30      2 2023-04-08            0.691 
 6           6.93         5.71  1.47      2 2023-04-09            0.961 
 7           6.86         5.64  1.23      2 2023-04-10            0.0497
 8           6.79         5.64  1.25      2 2023-04-11            0.873 
 9           6.57         5.57  1.15      2 2023-04-12            0.0193
10           6.43         5.5   1.09      2 2023-04-13            0.464 
# … with 171 more rows