search for: frml

...the formula, but not calculation results from the intermediate calling environment. Results from traceback(): 9: nrow(aus) 8: eval(expr, envir, enclos) 7: eval(predvars, data, env) 6: model.frame.default(object, data, xlev = xlev) 5: model.frame(object, data, xlev = xlev) 4: model.matrix.default(frml, data, ...) 3: model.matrix.formula(1:nrow(aus) ~ ., data = aus) 2: model.matrix(1:nrow(aus) ~ ., data = aus) 1: fac.design(nlevels = c(2, 6, 2)) If I reset model.matrix.formula to model.matrix.default, the problem disappears (but AlgDesign's comfort functions for squares etc. do not work any...

...t;)) #"standard" call of nls: res1 <- nls(y ~ fitfunc(a, b, c, x), start = c(a=1, b=1, c=1)) call.fitfunc <- c(list(fitfunc), as.name("a"), as.name("b"), as.name("c"), as.name("x")) call.fitfunc <- as.call(call.fitfunc) frml <- as.formula("y ~ eval(call.fitfunc)") #"computed" call of nls: res2 <- nls(frml, start = c(a=1, b=1, c=1)) list(res1 = res1, res2 = res2) } #----------------------------------------- the argument `n' defines the number of (simulated) data points x/y...

...uot;b", "c", "x")) res1 <- nls(y ~ fitfunc(a, b, c, x), start = c(a=1, b=1, c=1)) call.fitfunc <- c(list(fitfunc), as.name("a"), as.name("b"), as.name("c"), as.name("x")) call.fitfunc <- as.call(call.fitfunc) frml <- as.formula("y ~ eval(call.fitfunc)") res2 <- nls(frml, start = c(a=1, b=1, c=1)) list(res1 = res1, res2 = res2) } #----------------------------------------- the first call to `nls' is the standard way of calling `nls' when knowing all the names. the second call (y...

I'm using nls to fit periodic gene-expression data to sine waves. I need to set the upper and lower boundaries, because I do not want any negative phase and amplitude solutions. This means that I have to use the "port" algorithm. The problem is, that depending on what start value I choose for phase, the fit works for some cases, but not for others. In the example below, the fit works

Dear all I have tried to estimate the confidence intervals for predicted values of a nonlinear model fitted with nls. The function predict gives the predicted values and the lower and upper limits of the prediction, when the class of the object is lm or glm. When the object is derived from nls, the function predict (or predict.nls) gives only the predicted values. The se.fit and interval aguments

...ot; if collapse is a string and to the zero-length value character(0) when collapse = NULL. A package whose code uses this should depend on R (>= 4.0.1). * The summary(<warnings>) method now maps the counts correctly to the warning messages. BUG FIXES: * aov(frml, ...) now also works where the formula deparses to more than 500 characters, thanks to a report and patch proposal by Jan Hauffa. * Fix a dozen places (code, examples) as Sys.setlocale() returns the new rather than the previous setting. * Fix for adding two complex grid...

...ot; if collapse is a string and to the zero-length value character(0) when collapse = NULL. A package whose code uses this should depend on R (>= 4.0.1). * The summary(<warnings>) method now maps the counts correctly to the warning messages. BUG FIXES: * aov(frml, ...) now also works where the formula deparses to more than 500 characters, thanks to a report and patch proposal by Jan Hauffa. * Fix a dozen places (code, examples) as Sys.setlocale() returns the new rather than the previous setting. * Fix for adding two complex grid...

...ot; if collapse is a string and to the zero-length value character(0) when collapse = NULL. A package whose code uses this should depend on R (>= 4.0.1). * The summary(<warnings>) method now maps the counts correctly to the warning messages. BUG FIXES: * aov(frml, ...) now also works where the formula deparses to more than 500 characters, thanks to a report and patch proposal by Jan Hauffa. * Fix a dozen places (code, examples) as Sys.setlocale() returns the new rather than the previous setting. * Fix for adding two complex grid...

...to the report and "cumsum" patch of Suharto Anggono's PR#17497. * sub() no longer loses encodings for non-ASCII replacements (PR#17509). * Fix for rotated raster image on X11 device. (Partial fix for PR#17148; thanks to Mikko Korpela). * formula(model.frame(frml, ..)) now returns frml in all cases, thanks to Bill Dunlap. The previous behavior is available as DF2formula(<model.frame>). * ar.ols() also returns scalar var.pred in univariate case (PR#17517). * normalizePath() now treats NA path as non-existent and normalizes...

...to the report and "cumsum" patch of Suharto Anggono's PR#17497. * sub() no longer loses encodings for non-ASCII replacements (PR#17509). * Fix for rotated raster image on X11 device. (Partial fix for PR#17148; thanks to Mikko Korpela). * formula(model.frame(frml, ..)) now returns frml in all cases, thanks to Bill Dunlap. The previous behavior is available as DF2formula(<model.frame>). * ar.ols() also returns scalar var.pred in univariate case (PR#17517). * normalizePath() now treats NA path as non-existent and normalizes...

...to the report and "cumsum" patch of Suharto Anggono's PR#17497. * sub() no longer loses encodings for non-ASCII replacements (PR#17509). * Fix for rotated raster image on X11 device. (Partial fix for PR#17148; thanks to Mikko Korpela). * formula(model.frame(frml, ..)) now returns frml in all cases, thanks to Bill Dunlap. The previous behavior is available as DF2formula(<model.frame>). * ar.ols() also returns scalar var.pred in univariate case (PR#17517). * normalizePath() now treats NA path as non-existent and normalizes...