I am trying to follow the code set out in camera trapping for wildlife research, using my own data. I am trying to use the function fix.dta(). I am getting the error message error in fix.dta, could not find function fix.dta. I have tried googling the function but can not find anything about it at all. I was hoping someone may know how to help?
Many thanks
.dta is a file extension for stata files. Maybe you mean fix.data() function.
Related
I am trying to use the ebirdst package for some exploratory data analysis, following this tutorial. Everything going according to plan until I run this line:
week_ext <- calc_full_extent(occ_proj)
and get this error:
Error in calc_full_extent(occ_proj) : could not find function "calc_full_extent"
I know sometimes new functions won't show up, or it can be a version issue, but the tutorial I'm referencing is from 2018 and everything else works perfectly. Does anyone know why a crucial function would just not be there? Or what steps to take? I've looked to see if there are any analogous functions and can't find any.
Also this is my first stackoverflow question--I've always been able to solve my issues based on existing questions, but there seems to be very little out there on ebirdst--so please let me know if I need to provide more info/context.
Thanks!
I realize this is a pretty niche problem, but I figure it's worth asking anyway.
I'm working on a program that does root-finding, and the function that it's trying to find a root for involves computing Fresnel integrals, which are implemented using erf(). I thought I'd try using the IntervalRootFinding package, but haven't gotten very far with it. I get a MethodError exception, which looks like:
MethodError: no method matching _erf(::Complex{IntervalArithmetic.Interval{Float64}})
Any advice?
IntervalArithmatic requires that your functions know how to work with intervals. Since erf is monotonic, you could define your own implimentation
using IntervalArithmatic
erf(x::Interval{T}) where T = Interval(prevfloat(erf(x.lo)), nextfloat(erf(x.hi)))
I have written a small program in R, and when I get to this following line:
i=which(grepl(yyyy.q, Metrop$year))+1
I get the following error message:
Error in grepl(yyyy.q, Metrop$year) : object 'yyyy.q' not found
I think maybe this is occurring because I haven't defined 2019.3 as the current "yyyy.q". And that is what I need to do in order to tell R to start forecasting according to my model. Does that seem like the likely problem? I thought that was the problem but have struggled to fix it.
Here is how I am defining things in the beginning of my program before I get to the actual model specification, I assume the full code isn't necessary, but happy to share if that helps.
Metrop<-Houston
name<-"National"
Metrop<-Metrop[Metrop$year>=1989.4,]
Screenshot of dataset
Thanks for you help. Happy to share any more code or data if necessary.
After forming the matrix( which is my resultant image ) from certain data I am trying to display the image using the "imagesc" in r. The same thing I already had done in Matlab. To do the same in r I found out "imagesc" in r. but when I use this function it is showing the following error message
No documentation for ‘imagesc’ in specified packages and libraries:
you could try ‘??imagesc’
Even I already incorporated
library(R.matlab)
please help me to resolve the issue? I am a beginner in r programming.
You are looking for the function imagesc in the wrong package.
The package R.matlab doesn't have such function (see R.matlab).
You can find it in the matlab package, though.
So just do:
install.packages("matlab")
library(matlab)
and you'll be good to go with imagesc.
That said, if your task is going to be a recurrent one, I think it's a good idea to use native R solutions, instead of Matlab's. In such case, you may want to check ggplot2::geom_tile.
Check this image, for instance:
I want to follow the tutorial found on this site, but despite being thorough in all other aspects, the author has not included information on what packages need to be used for the code to function.
As far as I understand one of them will be the PerformanceAnalytics package, yet my inexperienced eye is not sure about what else I will need to include.
The fapply function used in the code is one example that I cannot find.
fapply()
Error: could not find function "fapply"
library(sos)
findFn("fapply", sortby = "Function")
The findFN(...) function is great. It should open an internet browser window with the search results by itself at least it does for me.
The tutorial on Backtesting a Trading Strategy uses time series data as seen its part 1 and part 2. fapply is also used in part 2
As the data being collected and processed is time-series data, fapply() function belongs to far package which is used for Modelization for Functional AutoRegressive Processes.
I hope this helps.