I want to create a pictionary game in JavaFX. Now suppose player 1 draws a 'dog' (the user would have already input the name of the object that he/she is drawing)and the other player guesses it as 'fog' then the output should show that the 'word is close(nearly or really)'.
Is there an inbuilt package for this or is there a code?
As far as I know, there is a package in JavaScript but I don't know what it is called.
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I'd like to get data with R from following website: Website MFarm
I'm wondering if there's a chance to get them from R or I must use something else (e.g. Selenium, or Python) ?
Note that:
Needed data is the plot trend. This shouldn't be an issue, as it's only about getting a html attribute, and then to re-elaborate numbers within R.
Data are shown in the page not immediately, but only some seconds after the page is loaded. So some waitfor() function shall be used
There are 7 tabs. I need data from all of them. An interaction is therefore needed.
There's a combo box and a text box with parameters I've to choose
I working with the ACDm package in Rstudio, which is a very helpful package for my topic. I came across the author's manual and noticed that the LACD1 and LACD2 functions deviates slightly from the original paper:
The conditional duration ( in the picture as mu_i) enters as a logarithmic value in the equation, which is not according to the original paper assumption.
They should enter in the equation like this:
The conditional duration (here as psi) enters not as a logarithmic value. The conditional duration is then used to calculate the expected durations as x_i = exp(psi_i)*randomErrorTerm
If the conditional duration enters already as a logarithmic value (picture 1) in the formula and it is then used to calculate the expected durations, it looks like this x_i = exp(log(psi_i)))*randomErrorTerm, which is not according to the origin paper.
To correct this, I basically have remove a "log" in the source code of the ACDm Package.
The problem is, that that the source code of the LACD1/LACD12 is written in c.
I was wondering if RStudio provides a method to change source code written in c, and use the package with the changed source code for at least the duration of the session?
I'm a beginner in R and I have to work with some (for me) unusual data for my student job. My boss sent me a script with the following "minimal example" of the data set I'm supposed to work with. ActSeqList stands for action sequence list and there is one for every person. The actions can't be condensed into a dataframe because different persons have varying numbers of actions. "a", "b" etc.. stand for which action was executed. The DurRTList contains the reaction times pertaining to the actions executed by each person.
Thus each person has an ActSeqList and a corresponding DurRTList. Now my instruction are:
1- determine for each action the proportion of persons to have executed that action at least once.
2- create a vector for each action that contains all the reaction times associated with that action.
3- (this step is probably easier once the others are done) compute the median reaction time for each action.
Now, I don't expect (or want) anyone to write code for me I'm just hoping someone could point me to some packages or functions I could start with as swirl certainly did not prepare me for this and I have no clue how to start.
Many thanks in advance! :)
ActSeqList<-list()
ActSeqList[[1]]<-c("a","b","c")
ActSeqList[[2]]<-c("b","a","c","d")
ActSeqList[[3]]<-c("a","d","e","f","d")
DurRTList<-list()
DurRTList[[1]]<-c(156,40,210)
DurRTList[[2]]<-c(41,320,27,560)
DurRTList[[3]]<-c(27,99,123,710,79)
Created on 2020-01-18 by the reprex package (v0.3.0)
Given a context, for example, you do have a set of facts in your graph database / knowledge base (as in the grakn), that would represent a current state of a graph (in plain text here) like :
version 1 (jan/2016): "Rachel is a person that is a english teacher for a class of 10 students in a University ABC" .
change 1 (mar/2016), that generates version 2: "Alice replaces Rachel"
version 2: (mar/2016): "Alice is a person that is a english teacher for a class of 10 students in a University ABC".
So given that, I know that I could represent the versions inside the graph and replicate everything (minus the change) from version 1 into a new set of the data (nodes and edges) to the version 2,
But I am wondering if there is a Best Practice (or some mechanism of the engine) in representing these changes overtime, like versioning of that data set, or something similar that would make the change to a new data set but keep a history so that you can recompose the previous state the graph.
The only thing close to that is that Grakn can support attaching attributes to relationships. For example:
insert
$x (spouse: $p1, spouse: $p2) isa marriage;
$x has date "01/10/2010"
You can also attach attributes to attributes. So if you defined a attribute type for example Version you could attach that to all your relationships.
So while it cannot represent change over time out of the box you can work around it to some degrees depending on your use case.
I have 10+ files that I want to add to ArcMap then do some spatial analysis in an automated fashion. The files are in csv format which are located in one folder and named in order as "TTS11_path_points_1" to "TTS11_path_points_13". The steps are as follows:
Make XY event layer
Export the XY table to a point shapefile using the feature class to feature class tool
Project the shapefiles
Snap the points to another line shapfile
Make a Route layer - network analyst
Add locations to stops using the output of step 4
Solve to get routes between points based on a RouteName field
I tried to attach a snapshot of the model builder to show the steps visually but I don't have enough points to do so.
I have two problems:
How do I iterate this procedure over the number of files that I have?
How to make sure that every time the output has a different name so it doesn't overwrite the one form the previous iteration?
Your help is much appreciated.
Once you're satisfied with the way the model works on a single input CSV, you can batch the operation 10+ times, manually adjusting the input/output files. This easily addresses your second problem, since you're controlling the output name.
You can use an iterator in your ModelBuilder model -- specifically, Iterate Files. The iterator would be the first input to the model, and has two outputs: File (which you link to other tools), and Name. The latter is a variable which you can use in other tools to control their output -- for example, you can set the final output to C:\temp\out%Name% instead of just C:\temp\output. This can be a little trickier, but once it's in place it tends to work well.
For future reference, gis.stackexchange.com is likely to get you a faster response.