Error in apollo_probabilities(apollo_beta_shifted, apollo_inputs) : object 'task' not found
Posted: 19 Apr 2022, 15:57
Hello!
I am trying to estimate an ordinal logistic model
I copied everything from this example: http://apollochoicemodelling.com/files/ ... ating/OL.r except for the data.
I made my changes to make it match my data. I made dummies for all variables and excluded one variable.
For the explained variable I keep all dummies (the tau ones). Code is found below.
I get the following error:
Not sure what causes that error
I am trying to estimate an ordinal logistic model
I copied everything from this example: http://apollochoicemodelling.com/files/ ... ating/OL.r except for the data.
I made my changes to make it match my data. I made dummies for all variables and excluded one variable.
For the explained variable I keep all dummies (the tau ones). Code is found below.
I get the following error:
Code: Select all
> model = apollo_estimate(apollo_beta, apollo_fixed, apollo_probabilities, apollo_inputs)
Preparing user-defined functions.
Error in apollo_probabilities(apollo_beta_shifted, apollo_inputs) :
object 'task' not foundCode: Select all
# ################################################################# #
#### LOAD LIBRARY AND DEFINE CORE SETTINGS ####
# ################################################################# #
### Clear memory
rm(list = ls())
### Load Apollo library
library(apollo)
### Initialise code
apollo_initialise()
### Set core controls
apollo_control = list(
modelName = "OL",
modelDescr = "Ordered logit model fitted to MOCOLODO questionnaire",
indivID = "uuid2",
outputDirectory = "output"
)
# ################################################################# #
#### LOAD DATA AND APPLY ANY TRANSFORMATIONS ####
# ################################################################# #
### Loading data from package
### if data is to be loaded from a file (e.g. called data.csv),
### the code would be: database = read.csv("data.csv",header=TRUE)
database = s12
### for data dictionary, use ?apollo_drugChoiceData
# ################################################################# #
#### DEFINE MODEL PARAMETERS ####
# ################################################################# #
### Vector of parameters, including any that are kept fixed in estimation
apollo_beta = c(beta_geslacht_vrouw = 0,
beta_huishoudensinkomen_980_1870 = 0,
beta_huishoudensinkomen_1870_2680 = 0,
beta_huishoudensinkomen_2680_3800 = 0,
beta_huishoudensinkomen_3800_5460 = 0,
beta_huishoudensinkomen_5460_ = 0,
beta_opleiding_basis = 0,
beta_opleiding_middelbare = 0,
beta_opleiding_MBO = 0,
beta_opleiding_HBO = 0,
beta_opleiding_WO = 0,
tau_nautos_change_1 = -1,
tau_nautos_change_2 = 0,
tau_nautos_change_3 = 1)
### Vector with names (in quotes) of parameters to be kept fixed at their starting value in apollo_beta, use apollo_beta_fixed = c() if none
apollo_fixed = c()
# ################################################################# #
#### GROUP AND VALIDATE INPUTS ####
# ################################################################# #
apollo_inputs = apollo_validateInputs()
# ################################################################# #
#### DEFINE MODEL AND LIKELIHOOD FUNCTION ####
# ################################################################# #
apollo_probabilities=function(apollo_beta, apollo_inputs, functionality="estimate"){
### Attach inputs and detach after function exit
apollo_attach(apollo_beta, apollo_inputs)
on.exit(apollo_detach(apollo_beta, apollo_inputs))
### Create list of probabilities P
P = list()
### Calculate probabilities using Ordered Logit model
ol_settings = list(outcomeOrdered = nautos_change,
utility = beta_geslacht_vrouw*geslacht_vrouw +
beta_huishoudensinkomen_980_1870*huishoudensinkomen_980_1870 +
beta_huishoudensinkomen_1870_2680*huishoudensinkomen_1870_2680 +
beta_huishoudensinkomen_2680_3800*huishoudensinkomen_2680_3800 +
beta_huishoudensinkomen_3800_5460*huishoudensinkomen_3800_5460 +
beta_huishoudensinkomen_5460_*huishoudensinkomen_5460_ +
beta_opleiding_basis*opleiding_basis + beta_opleiding_middelbare*opleiding_middelbare +
beta_opleiding_MBO*opleiding_MBO + beta_opleiding_HBO*opleiding_HBO +
beta_opleiding_WO*opleiding_WO + beta_opleiding_WO*opleiding_WO,
tau = list(tau_nautos_change_1, tau_nautos_change_2, tau_nautos_change_3),
rows = (task==1))
P[["model"]] = apollo_ol(ol_settings, functionality)
### Take product across observation for same individual
P = apollo_panelProd(P, apollo_inputs, functionality)
### Prepare and return outputs of function
P = apollo_prepareProb(P, apollo_inputs, functionality)
return(P)
}
# ################################################################# #
#### MODEL ESTIMATION ####
# ################################################################# #
model = apollo_estimate(apollo_beta, apollo_fixed, apollo_probabilities, apollo_inputs)
# ################################################################# #
#### MODEL OUTPUTS ####
# ################################################################# #
# ----------------------------------------------------------------- #
#---- FORMATTED OUTPUT (TO SCREEN) ----
# ----------------------------------------------------------------- #
apollo_modelOutput(model)
# ----------------------------------------------------------------- #
#---- FORMATTED OUTPUT (TO FILE, using model name) ----
# ----------------------------------------------------------------- #
apollo_saveOutput(model)