Open jeremiah75 opened 2 years ago
This is the code:
y <- c(1, 1, 1, 1, 1, 2, 2, 2, 2, 2) x1 <- c(4, 3, 3, 2, 2, 8, 7, 5, 3, 3) x2 <- c(2, 1, 2, 2, 5, 3, 4, 5, 4, 2) discrim <- data.frame(y, x1, x2) discrim$y <- as.factor(discrim$y) head(discrim,3)
When I execute this code:
library(DFA.CANCOR) DFA(data = discrim, groups = 'y', variables = c('x1','x2'), predictive = TRUE, priorprob = 'SIZES', # default is 'EQUAL' verbose = TRUE)
The following text appears:
Error in order(y): unimplemented type 'list' in 'orderVector1' Traceback:
1. DFA(data = discrim, groups = "y", variables = c("x1", "x2"), . predictive = TRUE, priorprob = "SIZES", verbose = TRUE)
_2. squareTable(var1 = donnes[, 1], var2 = classes$dfaclass, grpnames, . tabdimnames = c("Original", "Predicted"))
3. factor(var2, labels = grpnames)
4. order(y)
I have proved with unlist() the data frame like in Weird behaviour by ordering a data frame, but it does not work. I imported from a .csv instead of code by hand too, but does not work neither. I have seen that y as a factor neither is the problem.
This is the example cited in the package documentation:
# data from Tabachnik & Fiddel (2019, p 307) table9.1 <- ' 1 87 5 31 6.4 1 97 7 36 8.3 1 112 9 42 7.2 2 102 16 45 7.0 2 85 10 38 7.6 2 76 9 32 6.2 3 120 12 30 8.4 3 85 8 28 6.3 3 99 9 27 8.2' table9.1 <- data.frame(read.table(text=table9.1, col.names=c('group','perf','info','verbexp','age'))) DFA(data = table9.1, groups = 'group', variables = c('perf','info','verbexp','age'), predictive = TRUE, priorprob = 'SIZES', covmat_type='within',verbose = TRUE)
.. and works nice ... my code, apparently, is very similar. Please, help!
Thank you very much in advance!
I add this conversation in stackoverflow: https://stackoverflow.com/questions/71641463/r-problem-error-in-ordery-unimplemented-type-list-in-ordervector1-with-f
This is the code:
When I execute this code:
The following text appears:
Error in order(y): unimplemented type 'list' in 'orderVector1' Traceback:
1. DFA(data = discrim, groups = "y", variables = c("x1", "x2"), . predictive = TRUE, priorprob = "SIZES", verbose = TRUE)
2. squareTable(var1 = donnes[, 1], var2 = classes$dfa_class, grpnames, . tabdimnames = c("Original", "Predicted"))
3. factor(var2, labels = grpnames)
4. order(y)
I have proved with unlist() the data frame like in Weird behaviour by ordering a data frame, but it does not work. I imported from a .csv instead of code by hand too, but does not work neither. I have seen that y as a factor neither is the problem.
This is the example cited in the package documentation:
.. and works nice ... my code, apparently, is very similar. Please, help!
Thank you very much in advance!