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fixing chunk names
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2-read.qmd

Lines changed: 30 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -40,7 +40,10 @@ data("fakesurveyDyn")
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fakesurveyDyn
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```
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```{r 2-static-dynsurvey-cont1}
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```{r}
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#| label: 2-static-dynsurvey-cont1
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#| warning: false
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#| message: false
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diffnet_dynsurvey <- survey_to_diffnet(
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dat = fakesurveyDyn,
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idvar = "id",
@@ -63,7 +66,11 @@ plot_diffnet(diffnet_dynsurvey)
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Let's have a look to `kfamily`:
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```{r kfamily-look}
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```{r}
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#| label: kfamily-survey
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#| warning: false
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#| message: false
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data(kfamily)
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unique(kfamily$village)
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@@ -73,7 +80,11 @@ hist(kfamily$toa)
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We can construct a `diffnet` object from from those survey data:
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```{r kfamily-survey-to-diffnet, warnings=FALSE, messages=FALSE}
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```{r}
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#| label: kfamily-survey-to-diffnet
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#| warning: false
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#| message: false
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kfamily_diffnet <- survey_to_diffnet(
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dat = kfamily,
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idvar = "id",
@@ -93,7 +104,11 @@ summary(kfamily_diffnet)
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```
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We can calculate direct exposure (cohesion) to an innovation using `exposure()`,
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```{r kfamily-cohesion, warnings=FALSE, messages=FALSE}
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```{r}
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#| label: kfamily-exposure
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#| warning: false
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#| message: false
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# Computing exposure
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coh <- exposure(kfamily_diffnet)
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@@ -103,7 +118,11 @@ head(round(coh, 2))
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and also indirect influence (structural equivalence):
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```{r kfamily-se, warnings=FALSE, messages=FALSE}
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```{r}
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#| label: kfamily-se
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#| warning: false
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#| message: false
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# Computing structural equivalence
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se <- exposure(kfamily_diffnet,
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alt.graph="se", # select 'structural equivalence'
@@ -117,9 +136,14 @@ head(round(se, 2))
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Finally...
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```{r kfamily-attr, warnings=FALSE, messages=FALSE}
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```{r}
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#| label: kfamily-diffnet-attrs
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#| warning: false
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#| message: false
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# Retrieving attributes as data.frame
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kfamily_diffnet.df <- diffnet.attrs(kfamily_diffnet, as.df = TRUE)
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ncol(kfamily_diffnet.df)
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```
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