Error In Model.frame.default Invalid Type List For Variable
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Invalid Type (null) For Variable In R
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Invalid Type (list) For Variable Aggregate
Ask Question x Dismiss Join the 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 error in model.frame.default : object is not a matrix minute: Sign up Linear regression in R: invalid type (list) for variable? up vote 1 down vote favorite t_X <- rbind( c(0.89, 0.46, 0.45, 0.56, 0.41, 0.44, 0.34, 0.74, 0.75, 0.48), c(0.02, 0.09, 0.16, 0.09, 0.02, 0.17, 0.23, 0.11, 0.01, 0.15), c(0.01, 0.24, 0.23, 0.09, 0.28, 0.14, 0.20, 0.01, 0.15, 0.06), c(18.7, 31.3, 30.0, 20.0, 31.5, 22.0, 25.7, 18.7, 27.3, 18.3), c(26.8, error in model.frame.default variable lengths differ (found for '(weights)') 33.4, 35.1, 25.7, 34.8, 28.0, 31.4, 26.8, 34.6, 22.8), c(42.1, 45.7, 48.3, 39.3, 46.5, 38.5, 41.1, 37.8, 47.8, 32.8), c(56.6, 49.3, 53.5, 46.6, 46.7, 46.7, 50.6, 50.6, 55.9, 43.4), c(70.0, 53.8, 59.2, 56.5, 48.5, 54.1, 53.5, 65.0, 67.9, 49.6), c(83.2, 55.3, 57.7, 57.8, 51.1, 53.6, 49.3, 72.3, 75.2, 51.1)) X <- as.data.frame(t(t_X)) colnames(X) <- c("c1", "c2", "c3", "A1", "A2", "A3", "A4", "A5", "A6") X.labels <- X[,1:3] X.training <- X[,4:9] I am trying to build linear models of c1, c2, c3 form A1-A6. Unfortunately, I am getting the error: Error in model.frame.default(formula = X.labels ~ X.training, drop.unused.levels = TRUE) : invalid type (list) for variable 'X.labels' when I do xlm <- lm(X.labels ~ X.training) Any ideas why? r regression linear-regression lm r-model-formula share|improve this question edited yesterday Zheyuan Li 1 asked Jun 19 '15 at 19:57 Sparrowcide 456316 3 You can't pass data.frames in formula like that. Do you want something like lm(cbind(c1,c2,c3)~., X) maybe? Or you can explicitly convert to matrices: xlm <- lm(as.matrix(X.labels) ~ as.matrix(X.training)) (but be careful of any potentially undesired data type casting). –MrFlick Jun 19 '15 at 20:00 add
Open this post in threaded view ♦ ♦ | Report Content as Inappropriate ♦ ♦ Error: invalid type(list) for variable when using lm() Dear All,I would like to do multiple regression in R. I
Error In Model.frame.default Factor Has New Levels
used: lm(y~X), where y is a n by 1 vector, and X is a contrasts can be applied only to factors with 2 or more levels n by m matrix. I kept getting the error message:Error in model.frame.default(formula = y ~ X, : invalid type (list) for
Lm In R
variable 'X'. However, when I used: lm(y~X[,1]+X[,2]+X[,3]+…+X[,m]), it works well, but this is not the form I prefer, it makes my codes complicated.Please help.Thank you very much,Jane______________________________________________ [hidden email] mailing list https://stat.ethz.ch/mailman/listinfo/r-helpPLEASE do read the http://stackoverflow.com/questions/30946321/linear-regression-in-r-invalid-type-list-for-variable posting guide http://www.R-project.org/posting-guide.htmland provide commented, minimal, self-contained, reproducible code. Henrique Dallazuanna Threaded Open this post in threaded view ♦ ♦ | Report Content as Inappropriate ♦ ♦ Re: Error: invalid type(list) for variable when using lm() Try this: y <- rnorm(100) X <- matrix(runif(100 * 10), ncol = 10) lm(y ~ ., data = cbind.data.frame(y, X)) On Tue, Nov 16, 2010 at 5:07 PM, Tianchan Niu <[hidden email]>wrote: > Dear http://r.789695.n4.nabble.com/Error-invalid-type-list-for-variable-when-using-lm-td3045462.html All,I would like to do multiple regression in R. I used: lm(y~X), > where y is a n by 1 vector, and X is a n by m matrix. I kept getting the > error > message:Error in model.frame.default(formula = y ~ X, : invalid type > (list) for variable 'X'. However, when I used: > lm(y~X[,1]+X[,2]+X[,3]+ +X[,m]), it > works well, but this is not the form I prefer, it makes my codes > complicated.Please help.Thank you very much,Jane > ______________________________________________ > [hidden email] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help> PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html> and provide commented, minimal, self-contained, reproducible code. > > -- Henrique Dallazuanna Curitiba-Paraná-Brasil 25° 25' 40" S 49° 16' 22" O [[alternative HTML version deleted]] ______________________________________________ [hidden email] mailing list https://stat.ethz.ch/mailman/listinfo/r-helpPLEASE do read the posting guide http://www.R-project.org/posting-guide.htmland provide commented, minimal, self-contained, reproducible code. Phil Spector Threaded Open this post in threaded view ♦ ♦ | Report Content as Inappropriate ♦ ♦ Re: Error: invalid type(list) for variable when using lm() In reply to this post by tn85 Tianchan - Your X is not a matrix -- it's a dataframe. Probably the simplest solution is to use lm(y~as.matrix(X)) but you should also learn the difference between
axis for dates https://stat.ethz.ch/pipermail/r-help/2010-November/259991.html Messages sorted by: [ date ] [ thread ] [ subject ] [ author ] Tianchan - Your X https://www.kaggle.com/c/15-071x-the-analytics-edge-competition-spring-2015/forums/t/13491/type-of-predictors-in-new-data-do-not-match-that-of-the-training-data/76561 is not a matrix -- it's a dataframe. Probably the simplest solution is to use lm(y~as.matrix(X)) but you should error in also learn the difference between a data frame and a matrix. - Phil Spector Statistical Computing Facility Department of Statistics UC Berkeley spector at stat.berkeley.edu On Tue, 16 Nov 2010, Tianchan Niu wrote: > Dear All,I would like error in model.frame.default to do multiple regression in R. I used: lm(y~X), > where y is a n by 1 vector, and X is a n by m matrix. I kept getting the error > message:Error in model.frame.default(formula = y ~ X, : invalid type (list) for variable 'X'. However, when I used: lm(y~X[,1]+X[,2]+X[,3]+…+X[,m]), it > works well, but this is not the form I prefer, it makes my codes complicated.Please help.Thank you very much,Jane Previous message: [R] Error: invalid type(list) for variable when using lm() Next message: [R] format secondary axis for dates Messages sorted by: [ date ] [ thread ] [ subject ] [ author ] More information about the R-help mailing list
(Spring 2015) Mon 13 Apr 2015 – Mon 4 May 2015 (17 months ago) Dashboard ▼ Home Data Make a submission Information Description Evaluation Rules Timeline Forum Leaderboard Public Private Competition Forum All Forums » 15.071x - The Analytics Edge (Spring 2015) Type of predictors in new data do not match that of the training data. Start Watching View all posts « Prev Topic » Next Topic <12> 0 votes @Kannan Sreedhar You ran to build the models with the training set and then do the predictions with the test set. And then combine the two predictions of the test set with the formula trying different xx and yy coefficients, where their sum = 1.0, "ensembling" the xx and yy. Am I doing it right? Interesting! I'll try that. Thanks for sharing! #21 | Posted 17 months ago Permalink chumazing Posts 11 | Votes 2 Joined 7 Apr '15 | Email User 0 votes Hi Everyone, I tried to run the model: WordsRF = randomForest(as.factor(Popular) ~ ., data = NewsTrain, type = "prob") The following error message was displayed: Error in model.frame.default(formula = as.factor(Popular) ~ ., data = NewsTrain, : invalid type (list) for variable 'PubDate' So, i created a new data frame minus the PubDate variable and ran the model again: This time, the error message reads: Error in randomForest.default(m, y, ...) : NA/NaN/Inf in foreign function call (arg 1)In addition: Warning messages:1: In data.matrix(x) : NAs introduced by coercion2: In data.matrix(x) : NAs introduced by coercion3: In data.matrix(x) : NAs introduced by coercion When i run the model with variables 'NewsDesk', 'SectionName', 'SubsectionName' only, the model runs without any errors. But when i include 'Headline', the above error message pops up. It seems that the model is not handling text variables properly. Can anyone please suggest how i should proceed? Thank You #22 | Posted 17 months ago Permalink Sugam Khetrapal Posts 3 | Votes 2 Joined 19 Mar '15 | Email User 0 votes Hi everyone! I've got the more or less the same problem, but the two structure are identical (I c