Error in model frame default variable lengths differ

Question

On running a gam model using the mgcv package  I encountered a strange error message which I am unable to understand         Error in model frame default formula   death   pm10   Lag resid1  1         variable lengths differ  found for  Lag resid1  1           The number of observations used in model1 is exactly the same as the length of the deviance residual  thus I think this error is not related to difference in data size or length    I found a fairly related error message on the web here  but that post did not receive an adequate answer  so it is not helpful to my problem   Reproducible example and data follows   library quantmod  library mgcv   require dlnm   df  lt - chicagoNMMAPS df1  lt - df  c  date   dow   death   temp   pm10     df1 trend lt -seq dim df1  1       Create a time trend   Run the model  model1 lt -gam death   pm10   s trend k 14 7   s temp k 5   data df1  na action na omit  family poisson    Obtain deviance residuals  resid1  lt - residuals model1 type  deviance     Add a one day lagged deviance to model 1  model1 1  lt - update model1      Lag resid1 1    na action na omit   model1 2 lt -gam death   pm10   s trend k 14 7   s temp k 5    Lag resid1 1   data df1   na action na omit  family poisson    Both of these models produced the same error message

User · Answer

Another thing that can cause this error is creating a model with the centering/scaling standardize function from the arm package -- m <- standardize(lm(y ~ x, data = train))

If you then try predict(m), you get the same error as in this question.

User · Answer

Its simple  just make sure the data type in your columns are the same  For e g  I faced the same error  that and an another error      Error in contrasts lt -  tmp   value   contr funs 1   isOF nn          contrasts can be applied only to factors with 2 or more levels   So  I went back to my excel file or csv file  set a filter on the variable throwing me an error and checked if the distinct datatypes are the same  And    Oh  it had numbers and strings  so I converted numbers to string and it worked just fine for me

User · Answer

Joran suggested to first remove the NAs before running the model  Thus  I removed the NAs  run the model and obtained the residuals  When I updated model2 by inclusion of the lagged residuals  the error message did not appear again   Remove NAs  df2 lt -df1 complete cases df1      Run the main model  model2 lt -gam death   pm10   s trend k 14 7   s temp k 5   data df2  family poisson    Obtain residuals  resid2  lt - residuals model2 type  deviance     Update model2 by including the lag 1 residuals  model2 1  lt - update model2      Lag resid2 1    na action na omit

[r] Error in model.frame.default: variable lengths differ

Examples related to r

Examples related to quantmod

Examples related to gam

Examples related to mgcv