Lesson 4 part
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@ -150,7 +150,7 @@ Notes:
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Notes:
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```{r Correlation}
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cor.test(pf$age, pf$friend_count)
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```
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Look up the documentation for the cor.test function.
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@ -158,13 +158,13 @@ Look up the documentation for the cor.test function.
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What's the correlation between age and friend count? Round to three decimal places.
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Response:
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***
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-0.027
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### Correlation on Subsets
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Notes:
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```{r Correlation on Subsets}
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with( , cor.test(age, friend_count))
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with(pf[pf$age <= 70,], cor.test(age, friend_count))
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```
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***
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@ -172,13 +172,17 @@ with( , cor.test(age, friend_count))
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### Correlation Methods
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Notes:
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***
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http://www.statisticssolutions.com/correlation-pearson-kendall-spearman/
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## Create Scatterplots
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Notes:
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```{r}
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library(ggplot2)
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ggplot(aes(x = www_likes_received, y = likes_received), data = pf) +
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geom_point()#alpha = 1/20, position = position_jitter(h = 0)) +
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#xlim(13, 90) +
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#coord_trans(y = "sqrt")
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```
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***
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@ -187,23 +191,28 @@ Notes:
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Notes:
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```{r Strong Correlations}
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ggplot(aes(x = www_likes_received, y = likes_received), data = pf) +
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geom_point() +
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xlim(0, quantile(pf$www_likes_received, 0.95)) +
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ylim(0, quantile(pf$likes_received, 0.95)) +
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geom_smooth(method = 'lm', color = 'red')
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```
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What's the correlation betwen the two variables? Include the top 5% of values for the variable in the calculation and round to 3 decimal places.
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```{r Correlation Calcuation}
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with(pf, cor.test(www_likes_received, likes_received))
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```
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Response:
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***
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0.948
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Variable is a superset of another
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### Moira on Correlation
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Notes:
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***
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Highly corelated can mean that variables are dependent on the same thing or are similar.
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### More Caution with Correlation
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Notes:
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