cosmo | Tema atau tampilan modul web dari aplikasi OpenSID yang | Web Site library

I'd like to create shapefile files in Shiny. A create the files corrected in tempdir(), including the final *zip file. But the output error is Error in h: error evaluating argument 'x' in method selection for function 'unique': 'cannot find function "selectedvariable0"'[No stack trace available] Ok, work with reactive objects is necessary to be careful, but despite I try to use selectedvariable0()$ID_UNIQUE,selectedvariable0() or output$selectedvariable0. Nothing working for me. In my example:

In my React Native application I want to be able to search and display songs, I have tried implementing search function, but none seems to work. The code below only allows me to type one letter, and when I type one letter my android device keyboard disappears my list will still remain (no search will be triggered).

Please I need help to make the search feature work in order for my search songs to display when User searches for songs.

Here's my player list code:

I try to create an app in Shiny and all selectInput were dynamic reactive objects but at the moment they make some plot (output$myplot) with the combination of the variables select and if(){} condition using observe({}), my plot doesn't work (PEST == unique(stands_ds$PEST) : length of larger object is not multiple of length of smaller object). The problem is with the final selection object selectedvariable4 and try to used selectedvariable4, selectedvariable4(),selectedvariable4()$ID_UNIQUE and unique(selectedvariable4()$ID_UNIQUE) without success. In my example:

I try to create an app in Shiny and all selectInput were dynamic reactive objects but at the moment they make some plot (output$myplot) with the combination of the variables select, my plot doesn't work (Error in charToDate: character string is not in a standard unambiguous format). The problem is with the final selection object selectedvariable4 and try to used selectedvariable4, selectedvariable4(),selectedvariable4()$ID_UNIQUE and unique(selectedvariable4()$ID_UNIQUE) without success. In my example:

In my shiny example below I have 3 variables (Project, Stand and ID_Unique). I would like that when I select Project, the variables Stand and ID_Unique would only be those contained in the selection made in Project in the input. Here is my detaild example:

I'm converting a code from Python 2.7 to Python 3.8.

In its Python 2.7 version, I had to use downgraded versions of scipy and numpy in order to avoid a TypeError (see below). With Python 3.8, these downgraded versions of scipy and numpy are not available anymore and I get this error, which I'm unable to fix.

1. Setup

Previous : MacOS Catalina 10.15.7, Python 2.7.16, numpy 1.9.0, scipy 1.0.1

New : MacOS Catalina 10.15.7, Python 3.8.6, numpy 1.20.3, scipy 1.4.0

2. Code

It happens when calling scipy.integrate.odeint :

I have an if statement condition for my plots and I need to use observe function. All the app works OK, but when I try to use the shinymanager for credentials creation, my app doesn't work anymore and the error is always: Error in if: argument has length zero

I'd like to use my currentvariable5() reactive object to create some kind of plot if == "A" ( if(currentvariable5()=="A"){}) and another if == "B" (else{}). But I try many tricks in several posts and the output is always:

I have to solve the equality between 2 matrices 12x12 containing a lot of symbolic variables and with which I perform inversion of the matrix. There are only one unknown called SIGAM_O, and FISH_O_SYM(1,1), FISH_O_SYM(1,2) and FISH_O_SYM(2,2) (FISH_O_SYM(2,1) = FISH_O_SYM(1,2).

My system is solved fastly when I take for example 2 matrices 2x2, the inversion is pretty direct.

Now, with the case of 2 matrices 12x12, I need before actually to inverse a 31x31 matrix of symbolic variables (I marginalize after), since inversion takes a lot of time.

I would like to benefit from my GPU NVIDIA card to achieve this inversion faster but the GPU optimization is not supported currently for Symbolic arrays.

Below the script where you will find the line of inversion: