I am trying to automate some of my tests in R to produce a static report in Excel. I have created a template in Excel which has a few charts and tables(sheet 1).
Now I run my R code to generate the data to fill in the same excel template file on Sheet 2.
I am using Openxlsx package to loadworkbook(excel template), next I overwrite data in sheet 2 by deleting the sheet and recreating it again with the new data so that the excel template has data for new test runs.
This runs without any error. But when I open my excel back the charts disappear with the !REF# error whereas as the tables are overwritten properly in the template(sheet1).
Has anyone come across such a scenario? The method I am using is a bit weird but can't think of any other alternative.
Thanks in advance!!
This definitely sounds weird. Something seems off, but I'm sorry I can't tell you what the issue may be. Anyway, I would say, just use R to generate the data and dump everything into Excel. Then, run some VBA in Excel to create the charts. I have no idea what your VBA skills are like, but I'm guessing it would be much easier to crate charts in Excel using VBA, rather than trying to do all of this with R.
Here are a few resources that you may find useful.
https://www.thespreadsheetguru.com/blog/2015/3/1/the-vba-coding-guide-for-excel-charts-graph
https://analysistabs.com/excel-vba/chart-examples-tutorials/
http://www.sthda.com/english/wiki/r-xlsx-package-a-quick-start-guide-to-manipulate-excel-files-in-r
Finally, you can learn a lot by recording Macros and hitting F8 to step-through the code to see how everything works.
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I am trying to write to an excel file that needs to be uploaded somewhere. The target software creates an excel file which has an XML map attached to it. I recreated the entire file structure in R using code, but any time I try to write to that excel file, i think R actually deletes the old file and creates a new one instead, because the XML map is gone the moment I start writing any data to it. Loading up the workbook also doesn't seem to bring in the xml map, only the workbook data and sheets.
Is there a way to write data to this existing file within R (or python) without losing the XML map? Now i need to generate a file and manually copy paste the data into the other excel file.
I've been trying with xlsx, readxl, xml2 packages.
In the past Ive deal with a similar problem. To my knowledge, almost all the R packages that interact with excel replace the entire file with a new one. Except the openxlsx package. You can replace specific sheets, and range of cells, whitout touching the rest (data, styling , etc..). One last comment is that I dont know much about XLM maps, but maybe you are lucky.
Here is the vignette:
https://cran.r-project.org/web/packages/openxlsx/vignettes/Introduction.html
Hope it helps
So I recently helped write a code for my lab which takes our processed data and makes a merged data frame of it. For purpose of keeping the lab updated, we keep our data tables updated on a secure wiki and thus I need an HTML made so I can basically upload the dataframe onto the wiki easily. It's worked before - all I did was basically copy what was already written and working and edited it to work for a different time point in our data collection. I have no errors given back to me and the data looks how I want it to look. As far as I know this script should be written logically and working well and so far it does except for one issue: R will make a file for the HTML, but there is no HTML written in the text document.
I have HTML's written from the other data time points which are written the exact same as this one, so I don't think it is a script construction thing.
Any ideas as to why this could be happening? I just need to know where to triage.
The package used for HTML is R2HTML, included in my packages list up at the top of the script. For HTML(, file=paste()), you will need to use your own directory to see if the HTML is written as a text file.
If I am not wrong , You are trying to get the dataframe in html format .
In this case you need to use xtable package in R
Just the below code in bottom of the script
## install the xtable package before importing it
library("xtable")
print(xtable(ChildSRPtotsFU_wiki), type="html", file="check_stack_overflow.html")
I'm no R-programmer (because of the problem I started learning it), I'm using Python, In a forcasting task I got a dataset signalList.rdata of a pheomenen called partial discharge.
I tried some commands to load, open and view, Hardly got a glimps
my_data <- get(load('C:/Users/Zack-PC/Desktop/Study/Data Sets/pdCluster/signalList.Rdata'))
but, since i lack deep knowledge about R, I wanted to convert it into a csv file, or any type that I can deal with in python.
or, explore it and copy-paste manually.
so, i'm asking for any solution whether using R or Python or any tool to get what's in the .rdata file.
Have you managed to load the data successfully into your working environment?
If so, write.csv is the function you are looking for.
If not,
setwd("C:/Users/Zack-PC/Desktop/Study/Data Sets/pdCluster/")
signalList <- load("signalList.Rdata")
write.csv(signalList, "signalList.csv")
should do the trick.
If you would like to remove signalList from your working directory,
rm(signalList)
will accomplish this.
Note: changing your working directory isn't necessary, it just makes it easier to read in a comment I feel. You may also specify another path for saving your csv to within the second argument of write.csv.
The title to this really says it all. I am trying to automate a report in R, ideally, the Excel file would be imported into R, refreshed (as the said Excel file has a direct link to SQL) before finally outputting the result as an Excel file.
Finally, this report needs to automatically run without human intervention or supervision (hence the need for R).
Any help or ideas would be appreciated !
I was trying to load the dataset from this file https://github.com/WinVector/zmPDSwR/blob/master/Custdata/custdata.tsv
and RStudio freezes and crashes every time. How can I tell if there is something particular with the datafile or RStudio is unable to handle it? How would I be able to get this data into R?
I will provide you with a possible alternative.
I always get a strange error whenever I try to do the online-data-pull, so what I do is, I download the dataset and keep it in my project folder and do my work with that.
As far as the dataset is concerned, it is the standard tsv format.
A code-snippet for your reference is:
mydata <- read.table("~path/dataset.tsv",sep="\t", header=TRUE)