Description Usage Arguments Details Value Note Author(s) References See Also Examples

`textmodel_ca`

implements correspondence analysis scaling on a
dfm. The method is a fast/sparse version of function ca.

1 2 | ```
textmodel_ca(x, smooth = 0, nd = NA, sparse = FALSE,
residual_floor = 0.1)
``` |

`x` |
the dfm on which the model will be fit |

`smooth` |
a smoothing parameter for word counts; defaults to zero. |

`nd` |
Number of dimensions to be included in output; if |

`sparse` |
retains the sparsity if set to |

`residual_floor` |
specifies the threshold for the residual matrix for
calculating the truncated svd.Larger value will reduce memory and time cost
but might reduce accuracy; only applicable when |

svds in the RSpectra package is applied to enable the fast computation of the SVD.

`textmodel_ca()`

returns a fitted CA textmodel that is a special
class of ca object.

You may need to set `sparse = TRUE`

) and
increase the value of `residual_floor`

to ignore less important
information and hence to reduce the memory cost when you have a very big
dfm.
If your attempt to fit the model fails due to the matrix being too large,
this is probably because of the memory demands of computing the *V
\times V* residual matrix. To avoid this, consider increasing the value of
`residual_floor`

by 0.1, until the model can be fit.

Kenneth Benoit and Haiyan Wang

Nenadic, O. and Greenacre, M. (2007). Correspondence analysis in
R, with two- and three-dimensional graphics: The ca package. *Journal
of Statistical Software*, 20 (3), http://www.jstatsoft.org/v20/i03/.

1 2 3 | ```
ieDfm <- dfm(data_corpus_irishbudget2010)
wca <- textmodel_ca(ieDfm)
summary(wca)
``` |

```
quanteda version 0.99
Using 2 of 1 threads for parallel computing
Attaching package: 'quanteda'
The following object is masked from 'package:utils':
View
Length Class Mode
sv 7 -none- numeric
nd 1 -none- numeric
rownames 14 -none- character
rowmass 14 -none- numeric
rowdist 14 -none- numeric
rowinertia 14 -none- numeric
rowcoord 98 -none- numeric
rowsup 0 -none- logical
colnames 5140 -none- character
colmass 5140 -none- numeric
coldist 5140 -none- numeric
colinertia 5140 -none- numeric
colcoord 35980 -none- numeric
colsup 0 -none- logical
call 2 -none- call
```

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.