So I've used the decompose function and I want to export all the lists it generates not just the plot it creates. I tried converting the lists into either a matrix or data frame but then that gets rid of the date header and year columns so if someone knows how to convert it and keep the list formatting that would solve my issue I think.
Anyway, The closest I've got to being able to do this keeping the list format is by doing
capture.output(decompose, file = "filename.csv")
As you can see from the image attached though:
Sometimes the months arent all together in a row which is really not helpful or what I want. It also just puts it in one column and I'm having to go into the excel after and do the text to column option which is going to get old really quickly.
Any help would be greatly appriciated. I'm really new to R so apologise if there is an obvious fix I'm missing.
Related
I want to calculate diversity indices of different sampling sites in R. I have sites in the first row and the different species in the first column. However, R is reading the first column as normal data (not as a header so to speak).
Pics:
https://imgur.com/a/iBsFtbe
Code:
>Macro<-read.csv("C:\\Users\\Carly\\OneDrive\\Desktop\\Ecology >Projects\\Macroinvertebrates & Water >Quality\\Macro_RData\\Macroinvert\\MacroR\\MacroCSV.csv", header = T)
You need to add row.names = 1 to your command. This will indicate that row names are stored in column number 1.
Macro <- read.csv("<...>/MacroCSV.csv", header = TRUE, row.names = 1)
I sense that you are frustrated. As r2evans said, it is easier for people to help you if you provide them with the data in text form and not with screenshots - because we can't recreate the problem or try to solve it by loading a screenshot into R.
CSV files are just text, so you can open them with a text editor such as NotePad and copy and paste it here. You don't need the whole text - the columns and lines needed to reproduce the problem are enough. This was what we were looking for:
Site,Aeshnidae,Amnicolidae,Ancylidae,Asellidae
AN0119A,0,0,0,6,0
AN0143,0,0,0,0,0
Programming for many people is very frustrating when they start out, don't let this discourage you!
It looks like your data is in the wrong orientation for analysis in vegan - your species are the rows, and sites are columns. From your pics, it looks like you've spotted this issue and tried transposing, but are having issues with the placement of the headers.
Try reading your csv in, and specifying that the first column should be row names:
MacroDataDataFinal <- read.csv("Path/to/file.csv",
row.names=1)
Then transpose the data
MacroDataDataFinal_transposed <- t(MacroDataDataFinal)
Then try running the specaccum function:
library(vegan)
speccurve <- specaccum(comm=MacroDataDataFinal_transposed,
method="random",
permutation=1000)
Hopefully this will work. If you get any errors please let us know the code you typed, and the precise error message.
I have around 100 equal .xls files containing 10 sheets each, with very messy data, here is a thought example of one sheet:
I want to add everything together in one R dataframe/tibble.
I don't know the right approach here, but I believe that I can hard code this within readxl::read.xls. It should look like this
I would like if somebody could show a short code of how to pick a cell to be the column name by its position and the data belonging to that column, also by its position/range.
Afterwards, I will find a way to loop this to all sheets within all files, or better: If I can specify the needed code for a certain sheet name within the read.xls function. Then i only have to loop on all the files.
Thanks and let me know if you need some more information on this.
I have tens of thousands of rows of unstructured data in csv format. I need to extract certain product attributes from a long string of text. Given a set of acceptable attributes, if there is a match, I need it to fill in the cell with the match.
Example data:
"[ROOT];Earrings;Brands;Brands>JeweleryExchange;Earrings>Gender;Earrings>Gemstone;Earrings>Metal;Earrings>Occasion;Earrings>Style;Earrings>Gender>Women's;Earrings>Gemstone>Zircon;Earrings>Metal>White Gold;Earrings>Occasion>Just to say: I Love You;Earrings>Style>Drop/Dangle;Earrings>Style>Fashion;Not Visible;Gifts;Gifts>Price>$500 - $1000;Gifts>Shop>Earrings;Gifts>Occasion;Gifts>Occasion>Christmas;Gifts>Occasion>Just to say: I Love You;Gifts>For>Her"
Look up table of values:
Zircon, Diamond, Pearl, Ruby
Output:
Zircon
I tried using the VLOOKUP() function, but it needs to match an entire cell and works better for translating acronyms. Haven't really found a built in function that accomplishes what I need. The data is totally unstructured, and changes from row to row with no consistency even within variations of the same product. Does anyone have an idea how to do this?? Or how to write an OpenOffice Calc function to accomplish this? Also open to other better methods of doing this if anyone has any experience or ideas in how to approach this...
ok so I figured out how to do this on my own... I created many different columns, each with a keyword I was looking to extract as a header.
Spreadsheet solution for structured data extraction
Then I used this formula to extract the keywords into the correct row beneath the column header. =IF(ISERROR(SEARCH(CF$1,$D769)),"",CF$1) The Search function returns a number value for the position of a search string otherwise it produces an error. I use the iserror function to determine if there is an error condition, and the if statement in such a way that if there is an error, it leaves the cell blank, else it takes the value of the header. Had over 100 columns of specific information to extract, into one final column where I join all the previous cells in the row together for the final list. Worked like a charm. Recommend this approach to anyone who has to do a similar task.
I have a small problem, which I don't think is too hard, but I couldn't find any answer here (maybe I phrased my research wrong so please excuse me if the question has already been asked!)
I am importing data from an excel sheet which is split in two columns as in the following picture:
Now, I am trying to import all the data in the second column to my R script, but by splitting it into different vectors: one vector for category A, one for category B, etc... by keeping the data points in the order they are in the file (because as it happens, they are in chronological order).
Now, the categories each have a different number of elements, however, they are ordered alphabetically (ie you'll never find an A in the B's, for example). So I guess that makes it easier, but I'm still a novice with R and I don't really know how to proceed without getting really messy with the code and I know there's probably a simple way of doing it.
Does anyone have an idea on how to treat this nicely please? :)
We can use split in base R to return a list of vectors of 'Data' based on the unique values in 'Category'
lst1 <- split(df1$Data, df1$Category)
I have a raw dataset and the columns are not clearly defined at all. When I go to import the data using "Read.Table" in R, it automatically tries to approximate where the columns begin and end. But it is not correct. I know the number of characters per variable, but I am not sure how to customize them as one would in Excel(=Left(x,3) OR =MID(X,4,1)... etc.). Some variables are separated by spaces, some aren't. It is not consistent.
FYI: The document was originally ".dat", then I saved the file as a ".R" file.
Here is an example of my data
Any help is much appreciated! Let me know
You can use read_fwf from the great readr package, to specify the fix widths per variable.