I have data like below:
structure(list(`h:23705` = c(7.16421907753984, 7.18756733158759,
6.71825354529678, 7.06582535720175), `h:9076` = c(3.63561443591981,
8.80110411390239, 3.42736295167031, 6.82567063382749), `h:6430` = c(11.6493510134213,
10.9021882366427, 11.5419097543467, 11.0172875218627), `h:23286` = c(5.95273659011779,
7.02279022342779, 7.4670764443101, 8.00950334000673), `h:1910` = c(9.21020787636299,
8.23315954971811, 9.02514643319415, 7.37180226446582), `h:100506658` = c(6.17503716113031,
5.33320510677162, 5.3854863067867, 4.85548061452834), `h:7278` = c(6.68267555640564,
6.72703399259055, 6.49979264556028, 6.69736758893795), `h:8321` = c(7.48693243798371,
9.20705588080534, 8.29611998959537, 8.62260573459778), `h:23127` = c(9.22906929860114,
8.38044548795266, 8.6686217703452, 7.00315009754005), `h:3480` = c(6.26913873735372,
7.18693171118497, 7.02427323899392, 7.35918725178567), group = c("c",
"d", "c", "d")), row.names = c("G1", "G2", "G3",
"G4"), class = "data.frame")
I am trying to use ctree method from party package in r. I use below code:
model<- ctree(group ~ ., train_data)
It throws below error:
Error in trafo(data = data, numeric_trafo = numeric_trafo, factor_trafo = factor_trafo, :
data class “character” is not supported
In addition: Warning message:
In storage.mode(RET@predict_trafo) <- "double" : NAs introduced by coercion
I am not sure what is the source of this problem?
The
group
variable needs to be afactor
not acharacter
variable. It is recommended to declare this explicitly in the training data, e.g.,(or alternatively using
transform()
ormutate()
etc.).