R studio help. I am trying to create a predictive model using markov chains and R Studio. I am using a dataset called "veteranbenefits" which has State.Name, Percent.of$.$Veterans.who.used.GIBill.Education.Benefits, Number.of$.$Education.Benefit.Recipients, Veteran.population, and Year $($over the course of $5$ years $2010-2015).$ I am having a hard time writing out the code to have it predict which state will most likely have a higher probability of veterans using their GI Bill benefits compared to others. I had previously received help but I am now getting this repeated error "Error in dimnames$($x dn :

length of 'dimnames' $[2]$ not equal to array extent." This is the code and a preview of the dataset. Could my dataset be the issue? Thank you again for any help.

library$($dplyr$)$

library$($markovchain$)$

veteranbenefits read.csv$("$veteranbenefits$.$csv$")$

veteranbenefits na$.$omit$($veteranbenefits$)$

transition$\_$matrix veteranbenefits $\%>\%$

group$\_$by$($State$.$Name, Year$)\%>\%$

summarise$($transition$\_$prob $=$ sum$($Percent$.$of$.$Veterans.who.used.GI$.$Bill.Education.Benefits$)/$

sum$($Percent$.$of$.$Veterans.who.used.GI$.$Bill.Education.Benefits$))$

transition$\_$matrix pivot$\_$wider$($transition$\_$matrix, names$\_$from $=$ "Year", values$\_$from $=$ "transition$\_$prob"$)$

transition$\_$matrix$[$is$.$na$($transition$\_$matrix

markov$\_$model new$("$markovchain$",$ states $=$ unique$($veteranbenefits$State.Name$),$

transitionMatrix $=$ as$.$matrix$($transition$\_$matrix$[,-1]))$

predicted$\_$probabilities steadyStates$($markov$\_$model$)$

highest$\_$state names$($predicted$\_$probabilities$)[$which$.$max$($predicted$\_$probabilities$)]$

print$($highest$\_$state$)$