Hi, To obtain estimates for some missing values in my data I fitted a linear regression and then used the command fitted(model) to get the fitted values from the model, but R doesn't return any values for the NA's. I can calculate the fitted values from the estimates obtained from the summary of model, but that's not very handy. Is there a way to include the missing values in the analysis and get fitted values for the NA's? I tried to use with the function na.action, but that didn't work. thanks Luca
Fit values for NA's in linear regression
2 messages · Luca Wacker, Spencer Graves
Have you considered:
> set.seed(1)
> tstDF <- data.frame(x=1:4, y=c(NA, 2:4+rnorm(3)))
> fit <- lm(y~x, tstDF)
> predict(fit)
2 3 4
1.678441 2.573854 3.469266
> predict(fit, tstDF)
1 2 3 4
0.7830284 1.6784410 2.5738536 3.4692662
spencer graves
Luca Wacker wrote:
Hi, To obtain estimates for some missing values in my data I fitted a linear regression and then used the command fitted(model) to get the fitted values from the model, but R doesn't return any values for the NA's. I can calculate the fitted values from the estimates obtained from the summary of model, but that's not very handy. Is there a way to include the missing values in the analysis and get fitted values for the NA's? I tried to use with the function na.action, but that didn't work. thanks Luca
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