nls

My dojo application breaks after building, during loading the app, throwing 'multipleDefine' and giving this error: Error {src: "dojoLoader", info: Object} Message: multipleDefine info: Object {pid: "dojo", mid: "dojo/nls/dojo_en-us", pack: Object, url: "dojo/nls/dojo_en-us.js", executed: 5…} Here is my profile: var profile = { // `basePath` is relative to the directory containing this profile file; in this case, it is being set to the // src/ directory, which is the same place as the `baseUrl` directory in the loader configuration. (If you change // this, you will also need to update run.js.)

I have a nls fitting task that I wanted to do with R. My first attempt to do this here and as @Roland pointed out "The point is that complex models are difficult to fit. The more so, the less the data supports the model until it become impossible. You might be able to fit this, if you had extremely good starting values." I can agree with @Roland but if excel can do this fitting why not R cannot do? Basically this fitting can be done with Excel's GRG Nonlinear solver but the process is very time consuming and sometimes fitting is not good. (since there are a lots of data in reality). here is my

I'm trying to plot a exponential curve (nls object), and its confidence bands. I could easily did in ggplot following the Ben Bolker reply in this post . But I'd like to plot it in the basic graphics style, (also with the shaped polygon) df <- structure(list(x = c(0.53, 0.2, 0.25, 0.36, 0.46, 0.5, 0.14, 0.42, 0.53, 0.59, 0.58, 0.54, 0.2, 0.25, 0.37, 0.47, 0.5, 0.14, 0.42, 0.53, 0.59, 0.58, 0.5, 0.16, 0.21, 0.33, 0.43, 0.46, 0.1, 0.38, 0.49, 0.55, 0.54), y = c(63, 10, 15, 26, 34, 32, 16, 31,26, 37, 50, 37, 7, 22, 13, 21, 43, 22, 41, 43, 26, 53, 45, 7, 12, 25, 23, 31, 19, 37, 24, 50, 40)),

I have time series data that is well modeled using a sinusoidal curve. I'd like to visualize the uncertainty in the fitted model using bootstrapping. I adapted the approach from here. I am also interested in this approach too, using nlsBoot . I can get the first approach to run, but the resulting plot contains curves that are not continuous, but jagged. library(dplyr) library(broom) library(ggplot2) xdata <- c(-35.98, -34.74, -33.46, -32.04, -30.86, -29.64, -28.50, -27.29, -26.00, -24.77, -23.57, -22.21, -21.19, -20.16, -18.77, -17.57, -16.47, -15.35, -14.40, -13.09, -11.90, -10.47, -9.95,-8

I have a problem implementing a cross domain custom build in Dojo. The situation is as follows: i have a pretty large application, with a good number of localisation bundles, so basicly the directory structures is like core\ (my module) nls\ fr\ en\ .... When building my module the result is a big core.js/core.xd.js file, which, bien sur, does not contain the localisations. In the localisation nls directories (en/fr/etc) i find after the build each bundle builded/minified, and a bigger file for each language, core_fr.js/core_en.fs, which contains only Dojo/Dijit related strings. so my build