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`dfm_trim()` currently accepts two sets of `min/max` arguments, for `count` and `docfreq` respectively. Each also accepts a fractional value, currently interpreted as a percentile of the features by …
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Dear adegenet developers,
I created a genpop file based on an allele counts matrix (allele frequencies per population) to conduct a Correspondence Analysis (CoA) in adegenet (following the basic tu…
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Hi,
related to @kbenoit 's suggestion in #782, it would be very useful to have a function, e.g. `textstat_network()` which stores data for semantic networks, either in a df or in a network object.…
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Hi,
I'd like to suggest adding additional word cloud shortcuts to Quanteda, comparison and keyness clouds.
Comparison clouds would simply use the function ``worccloud::comparison.cloud()``, e.g…
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Following on #1153:
Current state of `textstat_*` functions:
| function | output object | row.names | dimension(s) | name |
|:--------|:---------|:------|:------|:-----|
| `textstat_collocatio…
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Just like the older version of `head.dfm()`, `summary.textmodel_wordfish_fitted()` prints model parameters. It should only return values just like `summary.lm()`.
```r
ieWF %
textmodel_wordfish…
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Dear Ken and Quanteda team,
I am going to teach a method class by using Kosuke Imai's _Quantitative Social Science_ and I wonder if you could formulate the Quanteda code of the Chapter 5 (section 1: …
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Semantic network analysis is popular among media analysts, but it a bit difficult for network analysis armatures (including myself). So it is nice to have `plot.fcm()` that visualizes cooccurances of …
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I mentioned the problem under #897 already, but I thought I create a separate issue.
So far, `texstat_frequency` does not distinguish between weighted and non-weighted dfm's. In all cases, the colu…