A small tool to view real-world ActivityPub objects as JSON! Enter a URL
or username from Mastodon or a similar service below, and we'll send a
request with
the right
Accept
header
to the server to view the underlying object.
{
"@context": [
"https://www.w3.org/ns/activitystreams",
{
"ostatus": "http://ostatus.org#",
"atomUri": "ostatus:atomUri",
"inReplyToAtomUri": "ostatus:inReplyToAtomUri",
"conversation": "ostatus:conversation",
"sensitive": "as:sensitive",
"toot": "http://joinmastodon.org/ns#",
"votersCount": "toot:votersCount",
"blurhash": "toot:blurhash",
"focalPoint": {
"@container": "@list",
"@id": "toot:focalPoint"
},
"Hashtag": "as:Hashtag"
}
],
"id": "https://fosstodon.org/users/vincentab/outbox?min_id=0&page=true",
"type": "OrderedCollectionPage",
"next": "https://fosstodon.org/users/vincentab/outbox?max_id=109257734896026774&page=true",
"prev": "https://fosstodon.org/users/vincentab/outbox?min_id=109339550768111044&page=true",
"partOf": "https://fosstodon.org/users/vincentab/outbox",
"orderedItems": [
{
"id": "https://fosstodon.org/users/vincentab/statuses/109339550768111044/activity",
"type": "Create",
"actor": "https://fosstodon.org/users/vincentab",
"published": "2022-11-14T01:25:41Z",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://fosstodon.org/users/vincentab/followers",
"https://fosstodon.org/users/zeileis",
"https://econtwitter.net/users/fabitmart",
"https://a.gup.pe/u/rstats",
"https://a.gup.pe/u/rstats/followers",
"https://a.gup.pe/u/latex",
"https://a.gup.pe/u/latex/followers"
],
"object": {
"id": "https://fosstodon.org/users/vincentab/statuses/109339550768111044",
"type": "Note",
"summary": null,
"inReplyTo": "https://fosstodon.org/users/zeileis/statuses/109339548220969135",
"published": "2022-11-14T01:25:41Z",
"url": "https://fosstodon.org/@vincentab/109339550768111044",
"attributedTo": "https://fosstodon.org/users/vincentab",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://fosstodon.org/users/vincentab/followers",
"https://fosstodon.org/users/zeileis",
"https://econtwitter.net/users/fabitmart",
"https://a.gup.pe/u/rstats",
"https://a.gup.pe/u/rstats/followers",
"https://a.gup.pe/u/latex",
"https://a.gup.pe/u/latex/followers"
],
"sensitive": false,
"atomUri": "https://fosstodon.org/users/vincentab/statuses/109339550768111044",
"inReplyToAtomUri": "https://fosstodon.org/users/zeileis/statuses/109339548220969135",
"conversation": "tag:econtwitter.net,2022-11-14:objectId=496004:objectType=Conversation",
"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@zeileis\" class=\"u-url mention\">@<span>zeileis</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://econtwitter.net/@fabitmart\" class=\"u-url mention\">@<span>fabitmart</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://a.gup.pe/u/rstats\" class=\"u-url mention\">@<span>rstats</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://a.gup.pe/u/latex\" class=\"u-url mention\">@<span>latex</span></a></span> Thanks for the plug Achim! Fabio, if you try modelsummary and run into issues, don't hesitate to ping me.</p>",
"contentMap": {
"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@zeileis\" class=\"u-url mention\">@<span>zeileis</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://econtwitter.net/@fabitmart\" class=\"u-url mention\">@<span>fabitmart</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://a.gup.pe/u/rstats\" class=\"u-url mention\">@<span>rstats</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://a.gup.pe/u/latex\" class=\"u-url mention\">@<span>latex</span></a></span> Thanks for the plug Achim! Fabio, if you try modelsummary and run into issues, don't hesitate to ping me.</p>"
},
"attachment": [],
"tag": [
{
"type": "Mention",
"href": "https://fosstodon.org/users/zeileis",
"name": "@zeileis"
},
{
"type": "Mention",
"href": "https://econtwitter.net/users/fabitmart",
"name": "@fabitmart@econtwitter.net"
},
{
"type": "Mention",
"href": "https://a.gup.pe/u/rstats",
"name": "@rstats@a.gup.pe"
},
{
"type": "Mention",
"href": "https://a.gup.pe/u/latex",
"name": "@latex@a.gup.pe"
}
],
"replies": {
"id": "https://fosstodon.org/users/vincentab/statuses/109339550768111044/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://fosstodon.org/users/vincentab/statuses/109339550768111044/replies?only_other_accounts=true&page=true",
"partOf": "https://fosstodon.org/users/vincentab/statuses/109339550768111044/replies",
"items": []
}
},
"likes": {
"id": "https://fosstodon.org/users/vincentab/statuses/109339550768111044/likes",
"type": "Collection",
"totalItems": 4
},
"shares": {
"id": "https://fosstodon.org/users/vincentab/statuses/109339550768111044/shares",
"type": "Collection",
"totalItems": 2
}
}
},
{
"id": "https://fosstodon.org/users/vincentab/statuses/109334420417640618/activity",
"type": "Announce",
"actor": "https://fosstodon.org/users/vincentab",
"published": "2022-11-13T03:40:58Z",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://fosstodon.org/users/rohanalexander",
"https://fosstodon.org/users/vincentab/followers"
],
"object": "https://fosstodon.org/users/rohanalexander/statuses/109332285766149842"
},
{
"id": "https://fosstodon.org/users/vincentab/statuses/109313570843025294/activity",
"type": "Create",
"actor": "https://fosstodon.org/users/vincentab",
"published": "2022-11-09T11:18:39Z",
"to": [
"https://fosstodon.org/users/vincentab/followers"
],
"cc": [
"https://www.w3.org/ns/activitystreams#Public",
"https://fosstodon.org/users/cameronpat"
],
"object": {
"id": "https://fosstodon.org/users/vincentab/statuses/109313570843025294",
"type": "Note",
"summary": null,
"inReplyTo": "https://fosstodon.org/users/cameronpat/statuses/109313291167658258",
"published": "2022-11-09T11:18:39Z",
"url": "https://fosstodon.org/@vincentab/109313570843025294",
"attributedTo": "https://fosstodon.org/users/vincentab",
"to": [
"https://fosstodon.org/users/vincentab/followers"
],
"cc": [
"https://www.w3.org/ns/activitystreams#Public",
"https://fosstodon.org/users/cameronpat"
],
"sensitive": false,
"atomUri": "https://fosstodon.org/users/vincentab/statuses/109313570843025294",
"inReplyToAtomUri": "https://fosstodon.org/users/cameronpat/statuses/109313291167658258",
"conversation": "tag:fediscience.org,2022-11-08:objectId=2804969:objectType=Conversation",
"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@cameronpat\" class=\"u-url mention\">@<span>cameronpat</span></a></span> I added examples to ?predictions and ?comparisons, as well as one of the vignettes: <a href=\"https://vincentarelbundock.github.io/marginaleffects/articles/predictions.html#adjusted-predictions-at-user-specified-values-aka-adjusted-predictions-at-representative-values-apr\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">vincentarelbundock.github.io/m</span><span class=\"invisible\">arginaleffects/articles/predictions.html#adjusted-predictions-at-user-specified-values-aka-adjusted-predictions-at-representative-values-apr</span></a></p>",
"contentMap": {
"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@cameronpat\" class=\"u-url mention\">@<span>cameronpat</span></a></span> I added examples to ?predictions and ?comparisons, as well as one of the vignettes: <a href=\"https://vincentarelbundock.github.io/marginaleffects/articles/predictions.html#adjusted-predictions-at-user-specified-values-aka-adjusted-predictions-at-representative-values-apr\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">vincentarelbundock.github.io/m</span><span class=\"invisible\">arginaleffects/articles/predictions.html#adjusted-predictions-at-user-specified-values-aka-adjusted-predictions-at-representative-values-apr</span></a></p>"
},
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{
"type": "Mention",
"href": "https://fosstodon.org/users/cameronpat",
"name": "@cameronpat"
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"id": "https://fosstodon.org/users/vincentab/statuses/109313570843025294/replies",
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"id": "https://fosstodon.org/users/vincentab/statuses/109313570843025294/likes",
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"id": "https://fosstodon.org/users/vincentab/statuses/109313570843025294/shares",
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},
{
"id": "https://fosstodon.org/users/vincentab/statuses/109313252877019508/activity",
"type": "Create",
"actor": "https://fosstodon.org/users/vincentab",
"published": "2022-11-09T09:57:47Z",
"to": [
"https://fosstodon.org/users/vincentab/followers"
],
"cc": [
"https://www.w3.org/ns/activitystreams#Public",
"https://fediscience.org/users/andrew",
"https://fosstodon.org/users/cameronpat"
],
"object": {
"id": "https://fosstodon.org/users/vincentab/statuses/109313252877019508",
"type": "Note",
"summary": null,
"inReplyTo": "https://fosstodon.org/users/cameronpat/statuses/109311732207987563",
"published": "2022-11-09T09:57:47Z",
"url": "https://fosstodon.org/@vincentab/109313252877019508",
"attributedTo": "https://fosstodon.org/users/vincentab",
"to": [
"https://fosstodon.org/users/vincentab/followers"
],
"cc": [
"https://www.w3.org/ns/activitystreams#Public",
"https://fediscience.org/users/andrew",
"https://fosstodon.org/users/cameronpat"
],
"sensitive": false,
"atomUri": "https://fosstodon.org/users/vincentab/statuses/109313252877019508",
"inReplyToAtomUri": "https://fosstodon.org/users/cameronpat/statuses/109311732207987563",
"conversation": "tag:fediscience.org,2022-11-08:objectId=2804969:objectType=Conversation",
"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@cameronpat\" class=\"u-url mention\">@<span>cameronpat</span></a></span> That’s an interesting point. In my field, we often estimate models with factors that contain *many* levels, so using all unique values could yield massive output. Frankly, using the mode was more of a safety precaution than a principled choice. I can see a case for a different default, but feeding `unique` to datagrid() didn’t feel too costly either.</p>",
"contentMap": {
"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@cameronpat\" class=\"u-url mention\">@<span>cameronpat</span></a></span> That’s an interesting point. In my field, we often estimate models with factors that contain *many* levels, so using all unique values could yield massive output. Frankly, using the mode was more of a safety precaution than a principled choice. I can see a case for a different default, but feeding `unique` to datagrid() didn’t feel too costly either.</p>"
},
"attachment": [],
"tag": [
{
"type": "Mention",
"href": "https://fediscience.org/users/andrew",
"name": "@andrew@fediscience.org"
},
{
"type": "Mention",
"href": "https://fosstodon.org/users/cameronpat",
"name": "@cameronpat"
}
],
"replies": {
"id": "https://fosstodon.org/users/vincentab/statuses/109313252877019508/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://fosstodon.org/users/vincentab/statuses/109313252877019508/replies?only_other_accounts=true&page=true",
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{
"id": "https://fosstodon.org/users/vincentab/statuses/109311706257528977/activity",
"type": "Create",
"actor": "https://fosstodon.org/users/vincentab",
"published": "2022-11-09T03:24:27Z",
"to": [
"https://fosstodon.org/users/vincentab/followers"
],
"cc": [
"https://www.w3.org/ns/activitystreams#Public",
"https://fosstodon.org/users/cameronpat",
"https://fediscience.org/users/andrew"
],
"object": {
"id": "https://fosstodon.org/users/vincentab/statuses/109311706257528977",
"type": "Note",
"summary": null,
"inReplyTo": "https://fosstodon.org/users/vincentab/statuses/109311678155780842",
"published": "2022-11-09T03:24:27Z",
"url": "https://fosstodon.org/@vincentab/109311706257528977",
"attributedTo": "https://fosstodon.org/users/vincentab",
"to": [
"https://fosstodon.org/users/vincentab/followers"
],
"cc": [
"https://www.w3.org/ns/activitystreams#Public",
"https://fosstodon.org/users/cameronpat",
"https://fediscience.org/users/andrew"
],
"sensitive": false,
"atomUri": "https://fosstodon.org/users/vincentab/statuses/109311706257528977",
"inReplyToAtomUri": "https://fosstodon.org/users/vincentab/statuses/109311678155780842",
"conversation": "tag:fediscience.org,2022-11-08:objectId=2804969:objectType=Conversation",
"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@cameronpat\" class=\"u-url mention\">@<span>cameronpat</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> the key insight is that {marginaleffects} nearly always behaves like the base R predict() function: it generates one estimate per row of the `newdata` argument. Then you can marginalize with `by` or `summary()`. In that sense, the package behaves in a really “standard” way</p>",
"contentMap": {
"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@cameronpat\" class=\"u-url mention\">@<span>cameronpat</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> the key insight is that {marginaleffects} nearly always behaves like the base R predict() function: it generates one estimate per row of the `newdata` argument. Then you can marginalize with `by` or `summary()`. In that sense, the package behaves in a really “standard” way</p>"
},
"attachment": [],
"tag": [
{
"type": "Mention",
"href": "https://fosstodon.org/users/cameronpat",
"name": "@cameronpat"
},
{
"type": "Mention",
"href": "https://fediscience.org/users/andrew",
"name": "@andrew@fediscience.org"
}
],
"replies": {
"id": "https://fosstodon.org/users/vincentab/statuses/109311706257528977/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://fosstodon.org/users/vincentab/statuses/109311706257528977/replies?only_other_accounts=true&page=true",
"partOf": "https://fosstodon.org/users/vincentab/statuses/109311706257528977/replies",
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"likes": {
"id": "https://fosstodon.org/users/vincentab/statuses/109311706257528977/likes",
"type": "Collection",
"totalItems": 4
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"shares": {
"id": "https://fosstodon.org/users/vincentab/statuses/109311706257528977/shares",
"type": "Collection",
"totalItems": 0
}
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},
{
"id": "https://fosstodon.org/users/vincentab/statuses/109311678155780842/activity",
"type": "Create",
"actor": "https://fosstodon.org/users/vincentab",
"published": "2022-11-09T03:17:19Z",
"to": [
"https://fosstodon.org/users/vincentab/followers"
],
"cc": [
"https://www.w3.org/ns/activitystreams#Public",
"https://fosstodon.org/users/cameronpat",
"https://fediscience.org/users/andrew"
],
"object": {
"id": "https://fosstodon.org/users/vincentab/statuses/109311678155780842",
"type": "Note",
"summary": null,
"inReplyTo": "https://fosstodon.org/users/cameronpat/statuses/109311389882419076",
"published": "2022-11-09T03:17:19Z",
"url": "https://fosstodon.org/@vincentab/109311678155780842",
"attributedTo": "https://fosstodon.org/users/vincentab",
"to": [
"https://fosstodon.org/users/vincentab/followers"
],
"cc": [
"https://www.w3.org/ns/activitystreams#Public",
"https://fosstodon.org/users/cameronpat",
"https://fediscience.org/users/andrew"
],
"sensitive": false,
"atomUri": "https://fosstodon.org/users/vincentab/statuses/109311678155780842",
"inReplyToAtomUri": "https://fosstodon.org/users/cameronpat/statuses/109311389882419076",
"conversation": "tag:fediscience.org,2022-11-08:objectId=2804969:objectType=Conversation",
"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@cameronpat\" class=\"u-url mention\">@<span>cameronpat</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> Here's a new gist will code and comments inserted: <a href=\"https://gist.github.com/vincentarelbundock/937f01d3dd20674e30492d4ae3f851c0\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">gist.github.com/vincentarelbun</span><span class=\"invisible\">dock/937f01d3dd20674e30492d4ae3f851c0</span></a></p>",
"contentMap": {
"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@cameronpat\" class=\"u-url mention\">@<span>cameronpat</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> Here's a new gist will code and comments inserted: <a href=\"https://gist.github.com/vincentarelbundock/937f01d3dd20674e30492d4ae3f851c0\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">gist.github.com/vincentarelbun</span><span class=\"invisible\">dock/937f01d3dd20674e30492d4ae3f851c0</span></a></p>"
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"href": "https://fosstodon.org/users/cameronpat",
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{
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"href": "https://fediscience.org/users/andrew",
"name": "@andrew@fediscience.org"
}
],
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"published": "2022-11-08T22:48:11Z",
"to": [
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"cc": [
"https://www.w3.org/ns/activitystreams#Public",
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"published": "2022-11-08T22:48:11Z",
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@cameronpat\" class=\"u-url mention\">@<span>cameronpat</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@cameronpat\" class=\"u-url mention\">@<span>cameronpat</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> To grok the mental model, I **strongly** recommend you start with the `predictions()` function. This function just makes predictions (fitted values) on the grid that you specify in the `newdata` arguement (very similar to base R predict()). Then, you can use the `by` argument to take averages (marginalize).</p>",
"contentMap": {
"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@cameronpat\" class=\"u-url mention\">@<span>cameronpat</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@cameronpat\" class=\"u-url mention\">@<span>cameronpat</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> To grok the mental model, I **strongly** recommend you start with the `predictions()` function. This function just makes predictions (fitted values) on the grid that you specify in the `newdata` arguement (very similar to base R predict()). Then, you can use the `by` argument to take averages (marginalize).</p>"
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@cameronpat\" class=\"u-url mention\">@<span>cameronpat</span></a></span> Yeah, I don't know. Cameron might be talking about actual marginal MEANS and not marginal EFFECTS, in which case the answer is different. If he supplies a working example with the `mtcars` dataset and `emmeans` I can probably show how to replicate the results with `marginaleffects`.</p>",
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"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@cameronpat\" class=\"u-url mention\">@<span>cameronpat</span></a></span> Yeah, I don't know. Cameron might be talking about actual marginal MEANS and not marginal EFFECTS, in which case the answer is different. If he supplies a working example with the `mtcars` dataset and `emmeans` I can probably show how to replicate the results with `marginaleffects`.</p>"
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://aus.social/@Miles_Ott\" class=\"u-url mention\">@<span>Miles_Ott</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@MineDogucu\" class=\"u-url mention\">@<span>MineDogucu</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@cameronpat\" class=\"u-url mention\">@<span>cameronpat</span></a></span> and some more side by side comparisons in the “Alternative software” and “Marginal means” vignettes.</p>",
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@NathanKalmoe\" class=\"u-url mention\">@<span>NathanKalmoe</span></a></span> Exactly. I saw lots of people asking about which server they should sign up for, and then many people trying to be helpful by posting 20k word tutorials, when a simple “doesn’t really matter” could do the trick.</p>",
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"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@NathanKalmoe\" class=\"u-url mention\">@<span>NathanKalmoe</span></a></span> Exactly. I saw lots of people asking about which server they should sign up for, and then many people trying to be helpful by posting 20k word tutorials, when a simple “doesn’t really matter” could do the trick.</p>"
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://econtwitter.net/@instrumenthull\" class=\"u-url mention\">@<span>instrumenthull</span></a></span> so much joy</p>",
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@brodriguesco\" class=\"u-url mention\">@<span>brodriguesco</span></a></span> soooo I’d been a vim-in-tmux-Linux guy since 2006, but have been working in vscode with vim bindings inside a WSL instance from a windows machine for a few months. Sounds convoluted, but it’s basically zero-config, and I kind of like it. I feel like I’m losing nerd-cred, but maybe that’s Ok.</p>",
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@svmiller\" class=\"u-url mention\">@<span>svmiller</span></a></span> yeah. So far the move seems pretty painless. I used a website to scrape a bunch of follows from Twitter and it hit quite a few. And maybe starting smaller is a good thing.</p>",
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://scholar.social/@BenediktEhinger\" class=\"u-url mention\">@<span>BenediktEhinger</span></a></span> glad you think it might be useful. Don’t hesitate to ping me if you have feature requests.</p>",
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"content": "<p>{marginaleffects} is an easy-to-use📦to compute predictions, contrasts, slopes, and marginal means for 71 model classes in <a href=\"https://fosstodon.org/tags/RStats\" class=\"mention hashtag\" rel=\"tag\">#<span>RStats</span></a>. v0.8.0 comes with powerful new features, bug fixes, and a website with 20k+ words of tutorials <a href=\"https://vincentarelbundock.github.io/marginaleffects/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">vincentarelbundock.github.io/m</span><span class=\"invisible\">arginaleffects/</span></a></p>",
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@alexpghayes\" class=\"u-url mention\">@<span>alexpghayes</span></a></span> looks great! Bookmarked</p>",
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@michaelflynn\" class=\"u-url mention\">@<span>michaelflynn</span></a></span> Looks fantastic! I’ll be working on some slides soon and might have to ask you a couple questions ;)</p>",
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@jayrobw\" class=\"u-url mention\">@<span>jayrobw</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@michaelflynn\" class=\"u-url mention\">@<span>michaelflynn</span></a></span> Thanks! Looks like you can move your followers as well, according to: <a href=\"https://docs.joinmastodon.org/user/moving/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">docs.joinmastodon.org/user/mov</span><span class=\"invisible\">ing/</span></a></p>",
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"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@jayrobw\" class=\"u-url mention\">@<span>jayrobw</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@michaelflynn\" class=\"u-url mention\">@<span>michaelflynn</span></a></span> Thanks! Looks like you can move your followers as well, according to: <a href=\"https://docs.joinmastodon.org/user/moving/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">docs.joinmastodon.org/user/mov</span><span class=\"invisible\">ing/</span></a></p>"
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"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@andrew\" class=\"u-url mention\">@<span>andrew</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@michaelflynn\" class=\"u-url mention\">@<span>michaelflynn</span></a></span> thanks, that's good to know! And if I accumulate some followers on my current server (fosstodon) but decide to move later to fediscience, then I "lose" all the followers, right? So my initial choice is very important...</p>",
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