Reponse must have 3 or more levels
I am trying to perform a ordinal logistic regression using R, but I keep getting this error which says: response must have 3 or more levels. What does "response" mean in R? Tried searching on google but nothing is explained on the meaning of response in R. I am pasting the snapshot of the data I am trying to regress and the code I have written so far:
m <- polr(as.factor(Gender) ~ VeryUnsat + Unsat + Sat + VerySat, data = df, Hess=TRUE)
summary(m)
ctable <- coef(summary(m))
p <- pnorm(abs(ctable[, "t value"]), lower.tail = FALSE) * 2
ctable <- cbind(ctable, "p value" = p)
ci <- confint(m)
exp(coef(m))
exp(cbind(OR = coef(m), ci))`
r regression
asked Nov 15 '18 at 3:32
TotalGadhaTotalGadha
336
|
show 1 more comment
I am trying to perform a ordinal logistic regression using R, but I keep getting this error which says: response must have 3 or more levels. What does "response" mean in R? Tried searching on google but nothing is explained on the meaning of response in R. I am pasting the snapshot of the data I am trying to regress and the code I have written so far:
m <- polr(as.factor(Gender) ~ VeryUnsat + Unsat + Sat + VerySat, data = df, Hess=TRUE)
summary(m)
ctable <- coef(summary(m))
p <- pnorm(abs(ctable[, "t value"]), lower.tail = FALSE) * 2
ctable <- cbind(ctable, "p value" = p)
ci <- confint(m)
exp(coef(m))
exp(cbind(OR = coef(m), ci))`
r regression
asked Nov 15 '18 at 3:32
TotalGadhaTotalGadha
336
1
"Response" is the outcome you're trying to model. Right now it looks like you have your formula backwards, as the response/outcome should be on the left-hand side of~, where you currently haveGender.
– Marius
Nov 15 '18 at 3:34
So how do I fix this? Age has 3 levels, but not gender...
– TotalGadha
Nov 15 '18 at 3:38
Pls provide data, no pictures. Check?dput.
– vaettchen
Nov 15 '18 at 3:46
I am new to this community, how do I provide my data here? It is in an excel file..
– TotalGadha
Nov 15 '18 at 3:47
What are you trying to model here? It looks like your response/outcome should be satisfaction, which has 4 levels. You need something likepolr(Satisfaction ~ age + gender + other_predictors), but you may have to reshape your data so it's "long" and you have one row per observation first.
– Marius
Nov 15 '18 at 3:49
|
show 1 more comment
I am trying to perform a ordinal logistic regression using R, but I keep getting this error which says: response must have 3 or more levels. What does "response" mean in R? Tried searching on google but nothing is explained on the meaning of response in R. I am pasting the snapshot of the data I am trying to regress and the code I have written so far:
m <- polr(as.factor(Gender) ~ VeryUnsat + Unsat + Sat + VerySat, data = df, Hess=TRUE)
summary(m)
ctable <- coef(summary(m))
p <- pnorm(abs(ctable[, "t value"]), lower.tail = FALSE) * 2
ctable <- cbind(ctable, "p value" = p)
ci <- confint(m)
exp(coef(m))
exp(cbind(OR = coef(m), ci))`
r regression
asked Nov 15 '18 at 3:32
TotalGadhaTotalGadha
336
I am trying to perform a ordinal logistic regression using R, but I keep getting this error which says: response must have 3 or more levels. What does "response" mean in R? Tried searching on google but nothing is explained on the meaning of response in R. I am pasting the snapshot of the data I am trying to regress and the code I have written so far:
m <- polr(as.factor(Gender) ~ VeryUnsat + Unsat + Sat + VerySat, data = df, Hess=TRUE)
summary(m)
ctable <- coef(summary(m))
p <- pnorm(abs(ctable[, "t value"]), lower.tail = FALSE) * 2
ctable <- cbind(ctable, "p value" = p)
ci <- confint(m)
exp(coef(m))
exp(cbind(OR = coef(m), ci))`
r regression
r regression
asked Nov 15 '18 at 3:32
TotalGadhaTotalGadha
336
asked Nov 15 '18 at 3:32
TotalGadhaTotalGadha
336
asked Nov 15 '18 at 3:32
TotalGadhaTotalGadha
336
asked Nov 15 '18 at 3:32
TotalGadhaTotalGadha
336
asked Nov 15 '18 at 3:32
TotalGadhaTotalGadha
336
336
1
"Response" is the outcome you're trying to model. Right now it looks like you have your formula backwards, as the response/outcome should be on the left-hand side of~, where you currently haveGender.
– Marius
Nov 15 '18 at 3:34
So how do I fix this? Age has 3 levels, but not gender...
– TotalGadha
Nov 15 '18 at 3:38
Pls provide data, no pictures. Check?dput.
– vaettchen
Nov 15 '18 at 3:46
I am new to this community, how do I provide my data here? It is in an excel file..
– TotalGadha
Nov 15 '18 at 3:47
What are you trying to model here? It looks like your response/outcome should be satisfaction, which has 4 levels. You need something likepolr(Satisfaction ~ age + gender + other_predictors), but you may have to reshape your data so it's "long" and you have one row per observation first.
– Marius
Nov 15 '18 at 3:49
|
show 1 more comment
1
"Response" is the outcome you're trying to model. Right now it looks like you have your formula backwards, as the response/outcome should be on the left-hand side of~, where you currently haveGender.
– Marius
Nov 15 '18 at 3:34
So how do I fix this? Age has 3 levels, but not gender...
– TotalGadha
Nov 15 '18 at 3:38
Pls provide data, no pictures. Check?dput.
– vaettchen
Nov 15 '18 at 3:46
I am new to this community, how do I provide my data here? It is in an excel file..
– TotalGadha
Nov 15 '18 at 3:47
What are you trying to model here? It looks like your response/outcome should be satisfaction, which has 4 levels. You need something likepolr(Satisfaction ~ age + gender + other_predictors), but you may have to reshape your data so it's "long" and you have one row per observation first.
– Marius
Nov 15 '18 at 3:49
1
1
"Response" is the outcome you're trying to model. Right now it looks like you have your formula backwards, as the response/outcome should be on the left-hand side of
~, where you currently have Gender.– Marius
Nov 15 '18 at 3:34
"Response" is the outcome you're trying to model. Right now it looks like you have your formula backwards, as the response/outcome should be on the left-hand side of
~, where you currently have Gender.– Marius
Nov 15 '18 at 3:34
So how do I fix this? Age has 3 levels, but not gender...
– TotalGadha
Nov 15 '18 at 3:38
So how do I fix this? Age has 3 levels, but not gender...
– TotalGadha
Nov 15 '18 at 3:38
Pls provide data, no pictures. Check
?dput.– vaettchen
Nov 15 '18 at 3:46
Pls provide data, no pictures. Check
?dput.– vaettchen
Nov 15 '18 at 3:46
I am new to this community, how do I provide my data here? It is in an excel file..
– TotalGadha
Nov 15 '18 at 3:47
I am new to this community, how do I provide my data here? It is in an excel file..
– TotalGadha
Nov 15 '18 at 3:47
What are you trying to model here? It looks like your response/outcome should be satisfaction, which has 4 levels. You need something like
polr(Satisfaction ~ age + gender + other_predictors), but you may have to reshape your data so it's "long" and you have one row per observation first.– Marius
Nov 15 '18 at 3:49
What are you trying to model here? It looks like your response/outcome should be satisfaction, which has 4 levels. You need something like
polr(Satisfaction ~ age + gender + other_predictors), but you may have to reshape your data so it's "long" and you have one row per observation first.– Marius
Nov 15 '18 at 3:49
|
show 1 more comment
1 Answer
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You should look at the example of polr method.
Just type ?polr in your command line in RStudio
You will see that your response variable is not well defined for what polr expects (unless I am misunderstanding what you try to do)
polr tries to model multilevel ordered variables such as Sat in the example.
I see two problems in your data:
you have aggregated data, a count of how many samples have each level of satisfaction for each combination of age and gender.
your response variable is splitted across different columns. Starting from the non-aggregated data you need to convert to a single variable with multiple possible values (VeryUnsat, Unsat, Sat, VerySat)
You may be able to use the aggregated data if the method allows to specify some weights to each combination (haven't checked the details of the method).
answered Nov 15 '18 at 3:57
PicarusPicarus
5801722
add a comment |
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1 Answer
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active
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votes
You should look at the example of polr method.
Just type ?polr in your command line in RStudio
You will see that your response variable is not well defined for what polr expects (unless I am misunderstanding what you try to do)
polr tries to model multilevel ordered variables such as Sat in the example.
I see two problems in your data:
you have aggregated data, a count of how many samples have each level of satisfaction for each combination of age and gender.
your response variable is splitted across different columns. Starting from the non-aggregated data you need to convert to a single variable with multiple possible values (VeryUnsat, Unsat, Sat, VerySat)
You may be able to use the aggregated data if the method allows to specify some weights to each combination (haven't checked the details of the method).
answered Nov 15 '18 at 3:57
PicarusPicarus
5801722
add a comment |
You should look at the example of polr method.
Just type ?polr in your command line in RStudio
You will see that your response variable is not well defined for what polr expects (unless I am misunderstanding what you try to do)
polr tries to model multilevel ordered variables such as Sat in the example.
I see two problems in your data:
you have aggregated data, a count of how many samples have each level of satisfaction for each combination of age and gender.
your response variable is splitted across different columns. Starting from the non-aggregated data you need to convert to a single variable with multiple possible values (VeryUnsat, Unsat, Sat, VerySat)
You may be able to use the aggregated data if the method allows to specify some weights to each combination (haven't checked the details of the method).
answered Nov 15 '18 at 3:57
PicarusPicarus
5801722
add a comment |
You should look at the example of polr method.
Just type ?polr in your command line in RStudio
You will see that your response variable is not well defined for what polr expects (unless I am misunderstanding what you try to do)
polr tries to model multilevel ordered variables such as Sat in the example.
I see two problems in your data:
you have aggregated data, a count of how many samples have each level of satisfaction for each combination of age and gender.
your response variable is splitted across different columns. Starting from the non-aggregated data you need to convert to a single variable with multiple possible values (VeryUnsat, Unsat, Sat, VerySat)
You may be able to use the aggregated data if the method allows to specify some weights to each combination (haven't checked the details of the method).
answered Nov 15 '18 at 3:57
PicarusPicarus
5801722
You should look at the example of polr method.
Just type ?polr in your command line in RStudio
You will see that your response variable is not well defined for what polr expects (unless I am misunderstanding what you try to do)
polr tries to model multilevel ordered variables such as Sat in the example.
I see two problems in your data:
you have aggregated data, a count of how many samples have each level of satisfaction for each combination of age and gender.
your response variable is splitted across different columns. Starting from the non-aggregated data you need to convert to a single variable with multiple possible values (VeryUnsat, Unsat, Sat, VerySat)
You may be able to use the aggregated data if the method allows to specify some weights to each combination (haven't checked the details of the method).
answered Nov 15 '18 at 3:57
PicarusPicarus
5801722
answered Nov 15 '18 at 3:57
PicarusPicarus
5801722
answered Nov 15 '18 at 3:57
PicarusPicarus
5801722
answered Nov 15 '18 at 3:57
PicarusPicarus
5801722
5801722
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1
"Response" is the outcome you're trying to model. Right now it looks like you have your formula backwards, as the response/outcome should be on the left-hand side of
~, where you currently haveGender.– Marius
Nov 15 '18 at 3:34
So how do I fix this? Age has 3 levels, but not gender...
– TotalGadha
Nov 15 '18 at 3:38
Pls provide data, no pictures. Check
?dput.– vaettchen
Nov 15 '18 at 3:46
I am new to this community, how do I provide my data here? It is in an excel file..
– TotalGadha
Nov 15 '18 at 3:47
What are you trying to model here? It looks like your response/outcome should be satisfaction, which has 4 levels. You need something like
polr(Satisfaction ~ age + gender + other_predictors), but you may have to reshape your data so it's "long" and you have one row per observation first.– Marius
Nov 15 '18 at 3:49