[R] almost logistic data evaluation
petr@p|k@| @end|ng |rom prechez@@cz
Tue Jun 9 13:20:43 CEST 2020
I have several files with data like those.
temp <- structure(list(V1 = c(0L, 15L, 30L, 45L, 60L, 75L, 90L, 105L,
120L, 135L, 150L, 165L, 180L, 195L, 210L, 225L, 240L, 255L, 270L,
285L, 300L, 315L, 330L, 345L, 360L), V2 = c(98.68666667, 100.8,
103.28, 107.44, 110.06, 114.26, 117.6, 121.04, 123.8533333, 126.66,
129.98, 134.1866667, 139.04, 144.6, 152.08, 161.3, 169.8733333,
176.6133333, 181.92, 186.0266667, 188.7533333, 190.7066667, 192.0533333,
192.9933333, 193.3533333)), class = "data.frame", row.names = c(NA,
They resemble logistics curve but they do not start as flat curve but
growing curve. Can you please give me some hints how to deal with such data?
I know that it is not strictly speaking R question but maybe somebody could
give me directions how to model such data and find model parameters.
I considered stepwise regression but it is not completely satisfactory.
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