knitr: process ANSI color codes

Bug description

Colors or R warnings (see 1 in the figure) in Quarto are marked with symbols (see 2, 3). These symbols must not be present.

Steps to reproduce

```{r}
with(airquality, table(OzHi = Ozone > 80, Month)) |> 
  DescTools::Desc(plotit = FALSE)
```

Expected behavior

No extra symbols of color codes. e.g.

/.../
Mantel-Haenszel Chi-squared:
  X-squared = 1.1306, df = 1, p-value = 0.2876

Warning message:
  Exp. counts < 5: Chi-squared approx. may be incorrect!!

Contingency Coeff.     0.287
Cramer's V             0.300
Kendall Tau-b          0.065

/.../

If possible, the colored output would be appreciated too. But at least no extra symbols would be nice too.

Actual behavior

/.../
Mantel-Haenszel Chi-squared:
  X-squared = 1.1306, df = 1, p-value = 0.2876

Warning message:
  Exp. counts < 5: Chi-squared approx. may be incorrect!!


Contingency Coeff.     0.287
Cramer's V             0.300
Kendall Tau-b          0.065
/.../

Your environment

RStudio Edition : Desktop [Open Source]
RStudio Version : 2023.6.0.401
OS Version      : Windows 10 x64 (build 19045)
R Version       : R version 4.3.0 (2023-04-21 ucrt)
Quarto:         : 1.4.111

Quarto check output

$ quarto check

[>] Checking versions of quarto binary dependencies...
      Pandoc version 3.1.2: OK
      Dart Sass version 1.55.0: OK
      Deno version 1.33.2: OK
[>] Checking versions of quarto dependencies......OK
[>] Checking Quarto installation......OK
      Version: 1.4.111
      Path: C:\Users\user\AppData\Local\Programs\Quarto\bin
      CodePage: 1257

[>] Checking basic markdown render....OK

[>] Checking Python 3 installation....OK
      Version: 3.9.15 (Conda)
      Path: C:/Users/user/anaconda3/python.exe
      Jupyter: 5.2.0
      Kernels: ir, julia-1.9, proj-ml-1, python3

(\) Checking Jupyter engine render....2023-05-30 19:08:32,583 - traitlets - ERROR - Failed to run command:
['C:\\Users\\user\\anaconda3\\envs\\proj-ml-1\\python.exe', '-m', 'ipykernel_launcher', '-f', 'C:\\Users\\user\\AppData\\Local\\Temp\\tmp5bcejmxp.json']
    PATH='C;C:\\Program Files\\Git\\Users\\user\\anaconda3;C;C:\\Program Files\\Git\\Users\\user\\anaconda3\\Scripts;C:\\Users\\user\\anaconda3;C:\\Users\\user\\anaconda3\\Library\\mingw-w64\\bin;C:\\Users\\user\\anaconda3\\Library\\usr\\bin;C:\\Users\\user\\anaconda3\\Library\\bin;C:\\Users\\user\\anaconda3\\Scripts;C:\\Users\\user\\anaconda3\\bin;C:\\Users\\user\\anaconda3\\condabin;C:\\Program Files\\RStudio\\resources\\app\\resources\\terminal\\bash\\bin;C:\\Program Files\\Git\\mingw64\\bin;C:\\Program Files\\Git\\usr\\local\\bin;C:\\Program Files\\Git\\usr\\bin;C:\\Program Files\\Git\\usr\\bin;C:\\Program Files\\Git\\mingw64\\bin;C:\\Program Files\\Git\\usr\\bin;C:\\Program
Files\\RStudio\\resources\\app\\resources\\terminal\\bash\\bin;C:\\Users\\user\\anaconda3\\Scripts;C:\\Users\\user\\anaconda3;C:\\RBuildTools\\4.3\\x86_64-w64-mingw32.static.posix\\bin;C:\\RBuildTools\\4.3\\usr\\bin;C:\\Program Files\\R\\R-4.3.0\\bin\\x64;C:\\Program Files\\Microsoft MPI\\Bin;C:\\Python39\\Scripts;C:\\Python39;C:\\Rtools\\bin;C:\\ProgramData\\Boxstarter;C:\\Program Files\\ImageMagick-7.0.8-Q16;C:\\Rtools\\bin;C:\\Program Files (x86)\\Common Files\\Oracle\\Java\\javapath;C:\\Rtools\\mingw_32\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v8.0\\bin;C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v8.0\\libnvvp;C:\\Program Files\\ImageMagick-6.9.3-Q16;C:\\ProgramData\\Oracle\\Java\\javapath;C:\\Program Files (x86)\\Intel\\iCLS Client;C:\\Program Files\\Intel\\iCLS Client;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0;C:\\Program Files\\Intel\\Intel(R) Management Engine Components\\DAL;C:\\Program Files (x86)\\Intel\\Intel(R) Management Engine Components\\DAL;C:\\Program Files\\Intel\\Intel(R) Management Engine Components\\IPT;C:\\Program Files (x86)\\Intel\\Intel(R) Management Engine Components\\IPT;C:\\Program Files\\Intel\\WiFi\\bin;C:\\Program Files\\Common Files\\Intel\\WirelessCommon;C:\\Program Files (x86)\\NVIDIA Corporation\\PhysX\\Common;C:\\Program Files (x86)\\Aspell\\bin;C:\\Windows\\system32;C:\\Windows;C:\\Windows\\System32\\Wbem;C:\\Windows\\System32\\WindowsPowerShell\\v1.0;C:\\Program Files (x86)\\QuickTime\\QTSystem;C:\\Program Files\\MiKTeX 2.9\\miktex\\bin\\x64;C:\\Program Files\\R\\R-3.4.0\\library\\tcltk\\libs\\x64;C:\\WINDOWS\\System32\\OpenSSH;C:\\Users\\user\\AppData\\Local\\Programs\\orca;C:\\Program
Files\\Microsoft VS Code\\bin;C:\\Program Files\\R\\R-3.5.1\\bin;C:\\ProgramData\\chocolatey\\bin;C:\\Program Files\\NVIDIA Corporation\\NVIDIA NvDLISR;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0;C:\\WINDOWS\\System32\\OpenSSH;C:\\Program Files\\SourceGear\\Common\\DiffMerge;C:\\Program Files\\Git LFS;C:\\Program Files\\TortoiseSVN\\bin;C:\\Program Files\\dotnet;C:\\Program Files (x86)\\Common Files\\Acronis\\VirtualFile;C:\\Program Files (x86)\\Common Files\\Acronis\\VirtualFile64;C:\\Program Files (x86)\\Common Files\\Acronis\\SnapAPI;C:\\Program Files\\Crucial\\Crucial Storage Executive;C:\\Program Files (x86)\\Microsoft SQL Server\\150\\Tools\\Binn;C:\\Program Files\\Microsoft SQL Server\\150\\Tools\\Binn;C:\\Program Files (x86)\\Microsoft SQL Server\\150\\DTS\\Binn;C:\\Program Files\\Microsoft SQL Server\\150\\DTS\\Binn;C:\\Program Files\\Microsoft SQL Server\\Client SDK\\ODBC\\170\\Tools\\Binn;C:\\Program Files\\Azure Data Studio\\bin;C:\\Program Files\\PuTTY;C:\\Program Files\\gs\\gs9.56.1\\bin;C:\\Program Files\\Docker\\Docker\\resources\\bin;C:\\ProgramData\\DockerDesktop\\version-bin;C:\\Program Files\\gnuplot\\bin;C:\\Program Files (x86)\\Meld;C:\\Program Files\\nodejs;C:\\Program Files\\Git\\cmd;C:\\Program Files\\PowerShell\\7;C:\\Users\\user\\AppData\\Local\\P[>] Checking Jupyter engine render....OK