Error In Model.frame.defaultformula Invalid Type List For Variable
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Invalid Type (list) For Variable Aggregate
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Error In Model.frame.default : Object Is Not A Matrix
them; it only takes a minute: Sign up Here's how it works: Anybody can ask a question Anybody can answer The best answers are voted up and rise to the top Error with lm in R up vote 2 down vote favorite 1 I'm taking a class on R and I cannot get the professors code to work. I error in model.frame.default variable lengths differ (found for '(weights)') am trying to do a simple linear model and I run this code: ozone<-read.table("http://www.ats.ucla.edu/stat/r/faq/ozone.csv", sep=",", header=T) fit = lm(ozone~.,data=ozone) summary(fit) Which keeps giving me the following error: Error in model.frame.default(formula = ozone ~ ., data = ozone, drop.unused.levels = TRUE) : invalid type (list) for variable 'ozone It's really depressing as they are the first two lines of code in his lecture notes. I have also found several other forum posts on this topic (it's even listed as a common r mistake), but I am too...special to figure out how to change it. I tried reading it as.numeric, and as a data.frame, which is what most other threads suggested, but neither worked. r linear-model lm share edited Sep 16 '15 at 13:33 mpiktas 24.7k448103 asked Sep 25 '13 at 7:59 user30697 11112 locked by whuber♦ Sep 16 '15 at 16:16 This question exists because it has historical significance, but it is not considered a good, on-topic question for this site, so please do not use it as evidence that you can ask similar questions here. This quest
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Error In Model.frame.default Factor Has New Levels
ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the contrasts can be applied only to factors with 2 or more levels Stack Overflow Community Stack Overflow is a community of 4.7 million programmers, just like you, helping each other. Join them; it only takes a minute: lm in r Sign up Error with lm() command: invalid type (list) for variable up vote 0 down vote favorite I'm taking a class on R and I cannot get the professor's code to work. I am trying to do a simple linear model http://stats.stackexchange.com/questions/70990/error-with-lm-in-r and I run this code: ozone <- read.table( "http://www.ats.ucla.edu/stat/r/faq/ozone.csv", sep = ",", header = TRUE ) fit = lm(ozone ~ ., data = ozone) summary(fit) Which keeps giving me the following error: Error in model.frame.default(formula = ozone ~ ., data = ozone, drop.unused.levels = TRUE) : invalid type (list) for variable 'ozone It's really depressing as they are the first two lines of code in his lecture notes. I have also found several other forum posts on this topic (it's even listed http://stackoverflow.com/questions/18999455/error-with-lm-command-invalid-type-list-for-variable as a common R mistake), but I am too special to figure out how to change it. I tried reading it as a numeric, and as a data.frame, which is what most other threads suggested, but neither worked. r lm share|improve this question edited Jul 3 at 3:41 Rich Scriven 55.3k650110 asked Sep 25 '13 at 8:04 bob smith 413 3 Please do not add the same question on several sites. Your question was answered already on Cross Validated –Didzis Elferts Sep 25 '13 at 8:10 Professors are always wrong. You haven't learned that yet? :-) (says a double-faculty brat) –Carl Witthoft Sep 25 '13 at 12:13 Here's a crazy idea: Ask the professor. –Rich Scriven Jul 3 at 3:26 add a comment| 2 Answers 2 active oldest votes up vote 2 down vote ozone table doesnt have ozone as a variable and hence your lm function would fail ozone<-read.table("http://www.ats.ucla.edu/stat/r/faq/ozone.csv", sep=",", header=T) fit = lm(Av8top ~.,data=as.data.frame(ozone)) summary(fit) This should work share|improve this answer answered Sep 25 '13 at 8:10 vins 745 add a comment| up vote 0 down vote Let's say your ozone data set contains X (explanatory values) in column 5,6, and 7. Simply save these into a matrix data type like ozone.X = as.matrix(cbind(ozone[5],ozone[6],ozone[7])). Do the same for your Y column. If it's in column 2 of ozone do ozone.Y = as.matrix(ozone[2]). Now you can run your lm function without it barking about a type error, lm(ozone.Y ~ ozone.X).
use formula and any ... arguments. Usage model.frame(formula, ...) ## Default S3 method: model.frame(formula, data = NULL, subset = NULL, na.action = na.fail, drop.unused.levels = FALSE, xlev = NULL, ...) ## S3 method for class 'aovlist' model.frame(formula, data = NULL, ...) ## S3 method https://stat.ethz.ch/R-manual/R-devel/library/stats/html/model.frame.html for class 'glm' model.frame(formula, ...) ## S3 method for class 'lm' model.frame(formula, ...) get_all_vars(formula, https://www.reddit.com/r/learnprogramming/comments/2oc3wv/r_building_generic_regression_tool_error_invalid/ data, ...) Arguments formula a model formula or terms object or an R object. data a data.frame, list or environment (or object coercible by as.data.frame to a data.frame), containing the variables in formula. Neither a matrix nor an array will be accepted. subset a specification of the rows to be used: defaults to all error in rows. This can be any valid indexing vector (see [.data.frame) for the rows of data or if that is not supplied, a data frame made up of the variables used in formula. na.action how NAs are treated. The default is first, any na.action attribute of data, second a na.action setting of options, and third na.fail if that is unset. The ‘factory-fresh’ default is na.omit. Another possible value is error in model.frame.default NULL. drop.unused.levels should factors have unused levels dropped? Defaults to FALSE. xlev a named list of character vectors giving the full set of levels to be assumed for each factor. ... further arguments such as data, na.action, subset. Any additional arguments such as offset and weights which reach the default method are used to create further columns in the model frame, with parenthesised names such as "(offset)". Details Exactly what happens depends on the class and attributes of the object formula. If this is an object of fitted-model class such as "lm", the method will either return the saved model frame used when fitting the model (if any, often selected by argument model = TRUE) or pass the call used when fitting on to the default method. The default method itself can cope with rather standard model objects such as those of class "lqs" from package MASS if no other arguments are supplied. The rest of this section applies only to the default method. If either formula or data is already a model frame (a data frame with a "terms" attribute) and the other is missing, the model frame is returned. Unless formula is a terms object, as.formula and then terms is called on it. (If you wish to use the keep.order ar
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