search for: meaningful

...today i wrote a function in R of the type: index.refraction <- function(Temp,Press, RH, CO2) When i try to plug a negative number in Temp, i got this type of error: " n <- index.refraction(Temp= -40,100,80,CO2) Messages d'avis : 1: In Ops.ordered(left, right) : '-' is not meaningful for ordered factors 2: In Ops.factor(left, right) : - not meaningful for factors 3: In Ops.factor(left, right) : - not meaningful for factors 4: In Ops.ordered(left, right) : '-' is not meaningful for ordered factors 5: In Ops.factor(left, right) : - not meaningful for factors 6: In Ops.fac...

Dear Experts, I need to include the repeated structure in our data set object, recall.sums.df, before using gls function. Thus I used groupedData. But I encountered error messages which may mean '*' is not not meaningful factor. Please let me know what I have to do. Thanks, Jeong > recall.sums.df[0:10, ] recall.values recall.ind subj replication hemi region group 1 17.515 rL_GM_T1 1 1 1 1 1 2 18.830 rL_GM_T1 2 1 1 1 1 3 16.477...

...EM1_PARTIAL <- CEM1[1:3,1:5] for(j in 1:ncol(CEM1_PARTIAL)) { for(i in 1:nrow(CEM1_PARTIAL)) { if(CEM1_PARTIAL[i,j] == "down") {CEM1_PARTIAL[i,j-1]= CEM1_PARTIAL[i,j-1] * -1;} } } error: Warning messages: 1: In Ops.factor(CEM1_PARTIAL[i, j - 1], -1) : * not meaningful for factors 2: In Ops.factor(CEM1_PARTIAL[i, j - 1], -1) : * not meaningful for factors 3: In Ops.factor(CEM1_PARTIAL[i, j - 1], -1) : * not meaningful for factors 4: In Ops.factor(CEM1_PARTIAL[i, j - 1], -1) : * not meaningful for factors 5: In Ops.factor(CEM1_PARTIAL[i, j - 1], -1) : * no...

...lot of warnings which I have not managed to parse succesfully: > lm(G5 ~ N3,data=noscj) Call: lm(formula = G5 ~ N3, data = noscj) Coefficients: (Intercept) N3.L N3.Q N3.C 3.38087 -0.05821 -0.15364 0.04367 Warning message: "-" not meaningful for ordered factors in: Ops.ordered(y, z$residuals) > summary(lm(G5 ~ N3,data=noscj)) Call: lm(formula = G5 ~ N3, data = noscj) Residuals: [1] <NA> <NA> <NA> <NA> <NA> Levels: Strongly agree Agree Neither Disagree Strongly disagree Coefficients:...

...is, and the data file is large (and I don't know whether I can legally distribute it). If people can suggest things that might be wrong in my data or the way that I am reading it, I would be most grateful. I get the following error message in the session quoted at the end of this email: / not meaningful for factors in: Ops.factor(BookValuePS, Price) As you can see in that some session, I check that the two vectors being divided are numeric. I also check that the divisor is not 0 at any index. I also believe that this is not because of the NA's in the data. My question is, what are other &quot...

Hello, Beginner, sorry if this is wasting anyone's time, but have been working on this for a couple of days now, think it should have take a few hours! The Problem: Error in Summary.factor(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, : max not meaningful for factors I have tried to re-arrange and check formula. I am working in SIAR, and cannot get model1 to run because of the error code below. Is this because of the first column being names? How do I rename the columns and to what? Below is the code and data frames with some omissions of values....

Error in Math.factor(c(2L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L,  :   log not meaningful for factors In addition:Warning messages: 1: In Ops.factor(LRUpBound, LRLowBound) : * not meaningful for factors 2: In Ops.factor(TransitCoefStdDev, TransitCoefMean) :   / not meaningful for factors [[alternative HTML version deleted]]

...7)","(20, 2)",..: 6 2 3 7 1 4 5 > > x <- c(15, 45) > y <- DSi [,2] > dist <- function (point1, point2) + { + diff <- point1-point2 + distance <- sqrt(sum(diff^2)) + distance + } > dist (x, y) [1] NA Warning message: In Ops.factor(point1, point2) : - not meaningful for factors > Regards, Nadiah -- View this message in context: http://r.789695.n4.nabble.com/Ops-factor-point1-point2-not-meaningful-for-factors-tp4644971.html Sent from the R help mailing list archive at Nabble.com.

I am trying to define groupings from levels of factor variables and this the warning message that R give "& not meaningful for factors". The nature of my task is this. I have a variable stage which has the levels (1B, 2A, 2B) - these are the AJCC TNM stages of cancer, and another variable diameter with factor levels ("=< 4", "4 - 6.5, > 6.5; limit values are exclusive). I am trying to defin...

...planatory variable from the model with > update(somemod, ". ~ . - stadium") I get the following messages: Fehler in coxph(formula = Surv(lebzeit, tot == 1) ~ sex + alter >= 65 + : No (non-missing) observations Zus?tzlich: Warning messages: 1: In Ops.factor(sex, alter) : + not meaningful for factors 2: In Ops.factor(65, diff3k) : + not meaningful for factors 3: In Ops.factor(65 + diff3k, zelltyp_k_c) : + not meaningful for factors 4: In Ops.factor(65 + diff3k + zelltyp_k_c, q_nuc_3k) : + not meaningful for factors 5: In Ops.factor(65 + diff3k + zelltyp_k_c + q_nuc_3k, kar_k80_g80...

Dear all, I try to summarise my data per category using aggregate, but for some reason I get the error message "sum" not meaningful for factors even though my vector is numeric. The data set is shown below. Could someone please give a hint. Thanks in advance! Sincerely, Tord > names(test) [1] "ObjektID" "tallstubbyta" > is.factor(test$ObjektID); is.factor(test$tallstubbyta) [1] TRUE [1] FALSE...

For some time now the tests in llvm-test/SingleSource/Regression and llvm-test/SingleSource/UnitTests have been producing no meaningful performance data other than "working". I think one of two things should be done, on a case-by-case basis: 1. Tests that are clearly simple, quick running tests should be moved into the llvm/test/Regression directory and made part of the deja-gnu suite since they are supposed to test func...

Hi everybody, Is there a particular reason, why this code does not work as intended: z <- factor(LETTERS[1:3], ordered = TRUE) u <- 4:6 min(z[u > 4]) Error in Summary.factor(2:3, na.rm = FALSE) : min not meaningful for factors I agree that min is indeed not meaningful for not ordered factors, but it makes sense for ordered factors. Especially since z[3] < z[2] sort(z) _ARE_ defined and work as expected. Of course I can do something like sort(z[u>4])[1] but this does not enhance rea...

R 1.8.1: ___COMMAND____________________________________________ levelplot( yield ~ year * variety | site, barley ) ___ERROR_MESSAGE______________________________________ Error in Summary.factor(..., na.rm = na.rm) : "min" not meaningful for factors ___COMMENT____________________________________________ levelplot( yield ~ as.numeric(year) * as.numeric(variety) | site, barley ) is working but the labels are nasty. Best regards Wolfram

...dio, R version 3.4.3 Several questions relating to groupedData: (1) I am trying to create a groupedData object that can be used to run an analysis that I have been able to urn using lmer. When I include the interaction terms in the groupedData opbject I get an error message stating that + is not meaningful for factors. How do I include factors in my model? See code and error below. (2) I have read the help file for groupedData multiple times. I am unable to understand the meaning or, or the use for the inner= and outer= parameters in the call to groupedData. Can someone either explain the meaning of...

...arise when trying to write the specs for this method. I started from scratch slowly building up the specs but it has led to an awful amount of mocks and stubs, and I am not even sure whether they are asking the correct things of the method. Can anyone give me some pointers on how to write useful, meaningful specs for this method? The other thing I have found is that I seem to have incorrectly stubbed xml.elements.each meaning that the contents of the block are never called, how should I be specifying this behavior? I have pastied the complete code for the Feed model, the spec and a little helper at:...

Hi dear R-help memebers, When building a CART model (specifically classification tree) using rpart, it is sometimes obvious that there are variables (X's) that are meaningful for predicting some of the outcome (y) variables - while other predictors are relevant for other outcome variables (y's only). *How can it be estimated, which explanatory variable is "used" for which of the predicted value in the outcome variable?* Here is an example code in which x...

> Date: Fri, 7 Apr 2000 09:55:08 -0400 (EDT) > From: Faheem Mitha <faheem at email.unc.edu> [I have given a more meaningful subject line.] > On Fri, 7 Apr 2000, Prof Brian D Ripley wrote: > > > On Thu, 6 Apr 2000, Faheem Mitha wrote: > > > > > I'm running splus 5 on a solaris platform remotely, and running R on linux > > > on my home machine. ... > > > > Might I su...

...bytes env3 <- list2env(list(a=runif(25000000), L=LETTERS)) object.size(env3) # 56 bytes This makes it pretty useless on reference class instances and other objects that use environments internally for caching or other purposes. What about changing this and make it return something more meaningful? Cheers, H. -- Herv? Pag?s Program in Computational Biology Division of Public Health Sciences Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N, M1-B514 P.O. Box 19024 Seattle, WA 98109-1024 E-mail: hpages at fredhutch.org Phone: (206) 667-5791 Fax: (206) 667-1319

...nv(list(a=runif(25000000), L=LETTERS)) > object.size(env3) # 56 bytes > > This makes it pretty useless on reference class instances and other > objects that use environments internally for caching or other purposes. > > What about changing this and make it return something more meaningful? > > Cheers, > H. > > -- > Herv? Pag?s > > Program in Computational Biology > Division of Public Health Sciences > Fred Hutchinson Cancer Research Center > 1100 Fairview Ave. N, M1-B514 > P.O. Box 19024 > Seattle, WA 98109-1024 > > E-mail: hpages at fred...