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I am making a code which takes in jumble word and returns a unjumbled word , the data.json contains a list and here take a word one-by-one and check if it contains all the characters of the word and later checking if the length is same , but the problem is when i enter a word as helol then the l is checked twice and giving me some other outputs including the main one(hello). i know why does it happen but i cant get a fix to it

I have a file with many lines that look like this:-

I have a list of plant names in a dataframe. Plant names come as a couplet with "genus" followed by "species". In my case the couplet is already split across columns (which should help). As a dummy example for three species (Helianthus annuus, Pinus radiatia, and Melaleuca leucadendra):

df <- data.frame(genus=c("Helianthus", "Pinus", "Melaleuca"), species=c("annuus","radiata", "leucadendra"))

I would like to use a function in the package "Taxize" to check these names against a database (IPNI). There is no batch function for this, and annoyingly the format for querying a single name is:

checked <- ipni_search(genus='Helianthus', species='annuus')

What I need is a loop to feed each genus name and it's associated species name into that function. I can do this for just genus:

TL;DR: Is my function not vectorised? How can I vectorise a function calling other functions with many if & else statements? Many thanks!

EDIT: The function works when manually doing one tree at a time by hand in the console, or dplyr-style when using dplyr::rowwise

I'm writing a function containing a lot of if's and 'else's.

The function decides, depending on which arguments are supplied (or missing), on which function to use to calculate the volume of a tree.

I want to use it like this, dplyr-style, over a huge data sheet with many cases.

I have those structures:

I have been working on making a website just like Pinterest and I am now working on Searching functionality with 'login_required' decorator. The view is not yet finished since I build this as I check whether the request goes through smoothly with Postman. However, the request doesn't even get to the first line of code in the view because I keep getting this error. Below is what I see when I test it with python debugger.

TL;DR [

x I'm purring a scatter plot for each species in a tibble with two types of regressions superimposed. Shows height predicted by diameter for trees.

x nls finds multiple possible data and fails to compute geom_smooth - a tidyeval error?

x I'm not sure how to use a user defined function with 'map2'.

]

A sample of my dataframe, train.data, is attached as a dputoutput at the end of the message.

I've split my data into a test set (20%) and a training set (80%). I've calculated summaries for the linear and non-linear models earlier and made a plot with the predicted values versus the estimated values. But I'd like a graph with the curve for the estimated models (linear and non-linear), and if I've understood it correctly, ggplot2 should come to the same conclusion as nls and lm? A tidyverse way to include offset (same for all observations) in the tibble instead of in the data.frame would be very welcome.

First, creating plotting function to map. NLS is red, LM is blue.

I have a dataset with oppurtunistic species-observations per square kilometer per year (ranging from 1900 to 2019).

There are 139 different sites (square kilomters) in my dataset. I want to make a dataset where for each species for every year for every site, its presence or absence is stated with 1 or 0.

I think this is the appropriate format for including the length of the species-list per year per site in a GLM, to try and account for repeated visits to sites within years (See Szabo et al. 2010 sci-hub.tw/10.1890/09-0877.1 for application of this method).

Data now looks like:

Consider a .txt file with the following content: