calculate_parameter_temporal_derivative_polynomial

calculate_parameter_temporal_derivative_polynomial

calculate_parameter_temporal_derivative_polynomial(
  data,
  temporal_derivative = 1,
  polynomial = 2
)

Arguments

data	data to have temporal derivatives and polynomial calculated
temporal_derivative	temporal derivative value (default: 1)
polynomial	polynomial value (default: 2)

Value

data.frame of original data along with its temporal derivatives and its polynomial

Examples

data <- data.frame(cbind(roi_1 = sample(7500:15000, 10, T)/100,
                         roi_2 = sample(7500:15000, 10, T)/100))
calculate_parameter_temporal_derivative_polynomial(data)
#>     roi_1  roi_2 roi_1_td_1 roi_2_td_1 roi_1_poly_2 roi_2_poly_2
#> 1  127.92  97.44       0.00       0.00    16363.526     9494.554
#> 2  130.26 121.12       2.34      23.68    16967.668    14670.054
#> 3  141.03  92.90      10.77     -28.22    19889.461     8630.410
#> 4   96.10 121.31     -44.93      28.41     9235.210    14716.116
#> 5   79.84  93.70     -16.26     -27.61     6374.426     8779.690
#> 6  134.89 116.72      55.05      23.02    18195.312    13623.558
#> 7  101.06  83.97     -33.83     -32.75    10213.124     7050.961
#> 8  145.70 140.89      44.64      56.92    21228.490    19849.992
#> 9   89.75 101.14     -55.95     -39.75     8055.062    10229.300
#> 10 107.72 109.98      17.97       8.84    11603.598    12095.600
#>    roi_1_td_1_poly_2 roi_2_td_1_poly_2
#> 1             0.0000            0.0000
#> 2             5.4756          560.7424
#> 3           115.9929          796.3684
#> 4          2018.7049          807.1281
#> 5           264.3876          762.3121
#> 6          3030.5025          529.9204
#> 7          1144.4689         1072.5625
#> 8          1992.7296         3239.8864
#> 9          3130.4025         1580.0625
#> 10          322.9209           78.1456