Include a CSV containing math symbols within a knitr xtable - csv

Im trying to generate an xtable of a .csv file within a knitr document. The csv file contains cells which have several math symbols such as '±'.I do not know how to tell xtable to include that math symbol within the knitr document.
Thus far i have been trying the following
table<-read.csv("table.csv",check.names = FALSE)
q<-xtable(table,
caption = "This is my table",include.rownames=FALSE,label="tab:table")
print(q,include.rownames=FALSE)
This doesn't work and gives me the following error "missing $ inserted"
Thank you in advance


The fact that you read in a CSV is irrelevant. It is a data.frame after read.csv().
The result of xtable() can be post-processed as illustrated on the help page. However, if these math symbols appear only in a column or two, it is easier to pre-process your table, wrapping the cell entries in $ ... $.
e.g.,
table[,1] <- paste0("$", table[,1], "$")

Related

Julia Box plots, not reading columns where the csv file column that the name has spaces and parenthesis but has no problem reading 1word column title

So here's the code in Julia
using CSV
using DataFrames
using PlotlyJS
df= CSV.read("path", DataFrame)
plot(df, x=:Age, kind="box")
#I DO get the box plot for this one, because in the csv that column is headed with "Age"
plot(df, x=:Annual Income (k$), kind="box")
ERROR: syntax: missing comma or ) in argument list
Stacktrace:
[1] top-level scope
# none:1
#here I get an error asking about syntax, but I don't understand since the x= part is exactly what the column is labeled. If I try 'x=:Annual' I get a box plot of nothing, but the column title is "Annual Income (k$)".
Help is greatly appreciated!
Refrence: https://plotly.com/julia/box-plots/

Try:
plot(df, x=Symbol("Annual Income (k\$)"), kind="box")
The : syntax constructs a Symbol, but only upto the next space. So :Annual Income (k$) says to build the Symbol Symbol("Annual"), but then leaves the Income (k$) parts dangling. Instead you can explicitly construct the Symbol yourself like above.
The backslash before the $ symbol is because Julia uses $ usually for interpolation, and here we want to use the raw $ character itself. You can also do plot(df, x=Symbol(raw"Annual Income (k$)"), kind="box") instead, as no interpolation happens inside raw"" strings.

Reading a .dat file in Julia, issues with variable delimeter spacing

I am having issues reading a .dat file into a dataframe. I think the issue is with the delimiter. I have included a screen shot of what the data in the file looks like below. My best guess is that it is tab delimited between columns and then new-line delimited between rows. I have tried reading in the data with the following commands:
df = CSV.File("FORCECHAIN00046.dat"; header=false) |> DataFrame!
df = CSV.File("FORCECHAIN00046.dat"; header=false, delim = ' ') |> DataFrame!
My result either way is just a DataFrame with only one column including all the data frome each column concatenated into one string. I tried to even specify the types with the following code:
df = CSV.File("FORCECHAIN00046.dat"; types=[Float64,Float64,Float64,Float64,
Float64,Float64,Float64,Float64,Float64,Float64,Float64,Float64]) |> DataFrame!
And I received an the following error:
┌ Warning: 2; something went wrong trying to determine row positions for multithreading; it'd be very helpful if you could open an issue at https://github.com/JuliaData/CS
V.jl/issues so package authors can investigate
I can work around this by uploading it into google sheets and then downloading a csv, but I would like to find a way to make the original .dat file work.

Part of the issue here is that .dat is not a proper file format—it's just something that seems to be written out in a somewhat human-readable format with columns of numbers separated by variable numbers of spaces so that the numbers line up when you look at them in an editor. Google Sheets has a lot of clever tricks built in to "do what you want" for all kinds of ill-defined data files, so I'm not too surprised that it manages to parse this. The CSV package on the other hand supports using a single character as a delimiter or even a multi-character string, but not a variable number of spaces like this.
Possible solutions:
if the files aren't too big, you could easily roll your own parser that splits each line and then builds a matrix
you can also pre-process the file turning multiple spaces into single spaces
That's probably the easiest way to do this and here's some Julia code (untested since you didn't provide test data) that will open your file and convert it to a more reasonable format:
function dat2csv(dat_path::AbstractString, csv_path::AbstractString)
open(csv_path, write=true) do io
for line in eachline(dat_path)
join(io, split(line), ',')
println(io)
end
end
return csv_path
end
function dat2csv(dat_path::AbstractString)
base, ext = splitext(dat_path)
ext == ".dat" ||
throw(ArgumentError("file name doesn't end with `.dat`"))
return dat2csv(dat_path, "$base.csv")
end
You would call this function as dat2csv("FORCECHAIN00046.dat") and it would create the file FORCECHAIN00046.csv, which would be a proper CSV file using commas as delimiters. That won't work well if the files contain any values with commas in them, but it looks like they are just numbers, in which case it should be fine. So you can use this function to convert the files to proper CSV and then load that file with the CSV package.
A little explanation of the code:
the two-argument dat2csv method opens csv_path for writing and then calls eachline on dat_path to read one line form it at a time
eachline strips any trailing newline from each line, so each line will be bunch of numbers separated by whitespace with some leading and/or trailing whitespace
split(line) does the default splitting of line which splits it on whitespace, dropping any empty values—this leaves just the non-whitespace entries as strings in an array
join(io, split(line), ',') joins the strings in the array together, separated by the , character and writes that to the io write handle for csv_path
println(io) writes a newline after that—otherwise everything would just end up on a single very long line
the one-argument dat2csv method calls splitext to split the file name into a base name and an extension, checking that the extension is the expected .dat and calling the two-argument version with the .dat replaced by .csv

Try using the readdlm function in DelimitedFiles library, and convert to DataFrame afterwards:
using DelimitedFiles, DataFrames
df = DataFrame(readdlm("FORCECHAIN00046.dat"), :auto)

xlsread in octave return zero values

I am trying to read a csv file in octave. The file contains a table with both numeric and text data. It also contains information of date and hour. In addition, the first line is in a different format then the rest of the lines since it contains titles.
The csvread can only read numeric data (according to Octave help), so I tried using xlsread as follows:
[NUMARR, TXTARR, RAWARR, LIMITS] = xlsread ('Line.csv')
I get only a matrix of NUMARR with numeric values. However, all other returned variables are empty- their dimension is 0x0.
How do I get all the text and all other information?
TX!

To solve this issue, open your CSV file in Windows notepad and save it as ANSI format instead of UNICODE.

Selectively Import only Json data in txt file into R.

I have 3 questions I would like to ask as I am relatively new to both R and Json format. I read quite a bit of things but I don't quite understand still.
1:) Can R parse Json data when the txt file contains other irrelevant information as well?
Assuming I can't, I uploaded the text file into R and did some cleaning up. So that it will be easier to read the file.
require(plyr)
require(rjson)
small.f.2 <- subset(small.f.1, ! V1 %in% c("Level_Index:", "Feature_Type:", "Goals:", "Move_Count:"))
small.f.3 <- small.f.2[,-1]
This would give me a single column with all the json data in each line.
I tried to write new .txt file .
write.table(small.f.3, file="small clean.txt", row.names = FALSE)
json_data <- fromJSON(file="small.clean")
The problem was it only converted 'x' (first row) into a character and ignored everything else. I imagined it was the problem with "x" so I took that out from the .txt file and ran it again.
json_data <- fromJSON(file="small clean copy.txt")
small <- fromJSON(paste(readLines("small clean copy.txt"), collapse=""))
Both time worked and I manage to create a list. But it only takes the data from the first row and ignore the rest. This leads to my second question.
I tried this..
small <- fromJSON(paste(readLines("small clean copy.txt"), collapse=","))
Error in fromJSON(paste(readLines("small clean copy.txt"), collapse = ",")) :
unexpected character ','
2.) How can I extract the rest of the rows in the .txt file?
3.) Is it possible for R to read the Json data from one row, and extract only the nested data that I need, and subsequently go on to the next row, like a loop? For example, in each array, I am only interested in the Action vectors and the State Feature vectors, but I am not interested in the rest of the data. If I can somehow extract only the information I need before moving on to the next array, than I can save a lot of memory space.
I validated the array online. But the .txt file is not json formatted. Only within each array. I hope this make sense. Each row is a nested array.
The data looks something like this. I have about 65 rows (nested arrays) in total.
{"NonlightningIndices":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15],"LightningIndices":[],"SelectedAction":12,"State":{"Features":{"Data":[21.0,58.0,0.599999964237213,12.0,9.0,3.0,1.0,0.0,11.0,2.0,1.0,0.0,0.0,0.0,0.0]}},"Actions":[{"Features":{"Data":[4.0,4.0,1.0,1.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.12213890532609,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.13055793241076,0.0,0.0,0.0,0.0,0.0,0.231325346416068,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.949158357257511,0.0,0.0,0.0,0.0,0.0,0.369666537828737,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0851765937900996,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.223409208023677,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.698640447815897,1.69496718435102,0.0,0.0,0.0,0.0,1.42312654023416,0.0,0.38394999584831,0.0,0.0,0.0,0.0,1.0,1.22164326251584,1.30980246401454,1.00411570750454,0.0,0.0,0.0,1.44306759429513,0.0,0.00568191150434618,0.0,0.0,0.0,0.0,0.0,0.0,0.157705869690127,0.0,0.0,0.0,0.0,0.102089274086033,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.37039305683305,2.64354332879095,0.0,0.456876463171171,0.0,0.0,0.208651305680117,0.0,0.0,0.0,0.0,0.0,2.0,0.0,3.46713142511126,2.26785558685153,0.284845692694476,0.29200364444299,0.0,0.562185300773834,1.79134869431988,0.423426746571872,0.0,0.0,0.0,0.0,5.06772310533214,0.0,1.95593334724537,2.08448537685298,1.22045520912269,0.251119892385839,0.0,4.86192274732091,0.0,0.186941346075472,0.0,0.0,0.0,0.0,4.37998688020614,0.0,3.04406665275463,1.0,0.49469909818283,0.0,0.0,1.57589195190525,0.0,0.0,0.0,0.0,0.0,0.0,3.55229001446173]}},......
{"NonlightningIndices":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,24],"LightningIndices":[[15,16,17,18,19,20,21,22,23]],"SelectedAction":15,"State":{"Features":{"Data":[20.0,53.0,0.0,11.0,10.0,2.0,1.0,0.0,12.0,2.0,1.0,0.0,0.0,1.0,0.0]}},"Actions":[{"Features":{"Data":[4.0,4.0,1.0,1.0,0.0,3.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.110686363475575,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.13427913742728,0.0,0.0,0.0,0.0,0.0,0.218834141070836,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.939443046803111,0.0,0.0,0.0,0.0,0.0,0.357568892126985,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0889329732996782,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.22521492930721,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.700441220022084,1.6762090551226,0.0,0.0,0.0,0.0,1.44526456614638,0.0,0.383689214317325,0.0,0.0,0.0,0.0,1.0,1.22583659574753,1.31795156033445,0.99710368703165,0.0,0.0,0.0,1.44325394830013,0.0,0.00418600599483917,0.0,0.0,0.0,0.0,0.0,0.0,0.157518319482216,0.0,0.0,0.0,0.0,0.110244186273209,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.369899973785845,2.55505143302811,0.0,0.463342609296841,0.0,0.0,0.226088384842823,0.0,0.0,0.0,0.0,0.0,2.0,0.0,3.47842109127488,2.38476342332125,0.0698115810371108,0.276804206873942,0.0,1.53514282355593,1.77391161515718,0.421465101754304,0.0,0.0,0.0,0.0,4.45530484778828,0.0,1.43798302409155,3.46965807176681,0.468528940277049,0.259853183829217,0.0,4.86988325473155,0.0,0.190659677933533,0.0,0.0,0.963116148760181,0.0,4.29930830894124,0.0,2.56201697590845,0.593423384852181,0.46165947868584,0.0,0.0,1.59497392171253,0.0,0.0,0.0,0.0,0.0368838512398189,0.0,4.24538684327048]}},......
I would really appreciate any advice here.

RapidMiner Text Processing: How To write ngrams to file

How can I write ngrams extracted from Text to a new XLS or CSV file?
The process I created is shown below. I would like to know how to connect the Write Document utility and at which level. In the Main Process or in the Vector Creation? Which pipe goes where?
Screenshot Main Process:
Screenshot Vector Creation process:
Screenshot ngrams produced:
Screenshot Write Document operator:
I am using RapidMiner Studio 6.0.003 Community Edition
EDIT Solution:

There are two outputs from the Process Documents from Files operator. The top one is an example set and will correspond to the document vector generated by the operator. The bottom one is a word list that contains all the different words, including n-grams, that form the attributes within the document vector.
To write the word list to a file, you have to convert it to an example set using the WordList to Data operator. The example set that is produced can then be written to CSV or XLSX using the Write CSV or Write Excel operators.