I have some excel file with simple formulas like =SUM(A1:A3).
I need to import the file into R, but before that I need to refresh the formulas. Is there a way to refresh the file from within R? There are good packages for importing the data in a R dataframe (eg. the R xslx package) but I need to refresh my formulas first.
Any suggestions?
Thanks!
You should be able to do this with RDCOMClient:
library(RDCOMClient)
ex = COMCreate("Excel.Application")
book = ex$Workbooks()$Open("my_file.xlsx")
book$Worksheets("Sheet1")$Calculate() # if you have many sheets you could loop through them or use apply functions based on their actual names
book$Save()
book$Close()
Here's another thread on the underlying VBA
Related
I have a R code that uses joins from various tables and finally have an output dataframe. I need this to be appended to a new worksheet in excel file that already has three sheets in it. I am on a mac and however I try the library(rjava) that is required for library(xlsx) wont load. Is there any other library (that doesnt need java) that I can use for this?
Edit to add: the existing excel sheet has graphs and charts in it
I would like to read the formulas inside a workbook using R. I have an excel file called "link.xlsx" with value 1 at cell A1 and another excel file called "myFile.xlsx" with value A1=[link.xlsx]Tabelle1!$A$1. I tried the following:
library('XLConnect')
wb<-loadWorkbook("myFile.xlsx")
getCellFormula(wb,1,1,1)
I get
[1]Tabelle1!$A$1
and not
[link.xlsx]Tabelle1!$A$1.
1) How I can fix the problem?
2)Is there a way to quickly get the list of external reference workbooks (linked excels) using R?
UPDATE: For the moment, I found a solution using the approach explained here:
Extract hyperlink from Excel file in R
but I still wonder if it is possible to solve the problem into a more compact way.
I am wondering is it possible to read an excel file that is currently open, and capture things you manually test into R?
I have an excel file opened (in Windows). In my excel, I have connected to a SSAS cube. And I do some manipulations using PivotTable Fields (like changing columns, rows, and filters) to understand the data. I would like to import some of the results I see in excel into R to create a report. (I mean without manually copy/paste the results into R or saving excel sheets to read them later). Is this a possible thing to do in R?
UPDATE
I was able to find an answer. Thanks to awesome package created by Andri Signorell.
library(DescTools)
fxls<-GetCurrXL()
tttt<-XLGetRange(header=TRUE)
I was able to find an answer. Thanks to awesome package created by Andri Signorell.
library(DescTools)
fxls<-GetCurrXL()
tttt<-XLGetRange(header=TRUE)
Copy the values you are interested in (in a single spread sheet at a time) to clipboard.
Then
dat = read.table('clipboard', header = TRUE, sep = "\t")
You can save the final excel spreadsheet as a csv file (comma separated).
Then use read.csv("filename") in R and go from there. Alternatively, you can use read.table("filename",sep=",") which is the more general version of read.csv(). For tab separated files, use sep="\t" and so forth.
I will assume this blog post will be useful: http://www.r-bloggers.com/a-million-ways-to-connect-r-and-excel/
In the R console, you can type
?read.table
for more information on the arguments and uses of this function. You can just repeat the same call in R after Excel sheet changes have been saved.
I want to export a dataset in the MASS package to SPSS for further investigation. I'm looking for the EuStockMarkets data set in the package.
As described in http://www.statmethods.net/input/exportingdata.html, I did:
library(foreign)
write.foreign(EuStockMarkets, "c:/mydata.txt", "c:/mydata.sps", package="SPSS")
I got a text file but the sps file is not a valid SPSS file. I'm really looking for a way to export the dataset to something that a SPSS can open.
As Thomas has mentioned in the comments, write.foreign doesn't generate native SPSS datafiles (.sav). What it does generate is the data in a comma delimited format (the .txt file) and a basic syntax file for reading that data into SPSS (the .sps file). The EuStockMarkets data object class is multivariate time series (mts) so when it's exported the metadata is lost and the resulting .sps file, lacking variable names, throws an error when you try to run it in SPSS. To get around this you can export it as a data frame instead:
write.foreign(as.data.frame(EuStockMarkets), "c:/mydata.txt", "c:/mydata.sps", package="SPSS")
Now you just need to open mydata.sps as a syntax file (NOT as a datafile) in SPSS and run it to read in the datafile.
Rather than exporting it, use the STATS GET R extension command. It will take a specified data frame from an R workspace/dataset and convert it into a Statistics dataset. You need the R Essentials for Statistics and the extension command, which are available via the SPSS Community site (www.ibm.com/developerworks/spssdevcentral)
I'm not trying to answer a question that has been answered. I just think there is something else to complement for other users looking for this.
On your SPSS window, you just need to find the first line of code and edit it. It should be something like this:
"file-name.txt"
You need to find the folder path where you're keeping your file:
"C:\Users\DELL\Google Drive\Folder-With-Your-File"
Then you just need to add this path to your file's name:
"C:\Users\DELL\Google Drive\Folder-With-Your-File\file-name.txt"
Otherwise SPSS will not recognize the .txt file.
Sorry if I'm repeating some information here, I just wanted to make it easier to understand.
I suppose that EuStockMarkets is a (labelled) data frame.
This should work and even keep the variable and value labels:
require(sjlabelled)
write_spss(EuStockMarkets, "mydata.sav")
Or you try rio:
rio::export(EuStockMarkets, "mydata.sav")
I've found the package XLConnect to be useful for exporting matrices to a CLOSED workbook, but does anyone know how to write to an OPEN workbook?
Alternatively, does anyone know of code one can write in VBA to import a matrix from an R script file?
Thanks
Mike
I've been wanting to do just this and stumbled upon excel.link that writes easily into an active excel sheet. The method to write is very simple and straightforward:
library(excel.link)
xlrc[a1] <- seq(1, 10)
Note that inside the brackets you write the cell where the data will be written (if it is a dataframe, this cell will be the upper left of said dataframe).
Result in the active sheet of the active excel file:
Use package excel.link this can work with xlsm and also with open excels..