corrplot 0.60 is on CRAN now, here are some example graphs:
corrplot 0.60 is on CRAN now, here are some example graphs:
The plot.corr() function was updated, now it can1. Add colorkey and text labels more flexible.2. Reorder the variables using PCA or hierarchical clustering methods.3. Excellent in details.4. Other.What's more, I found a new method to display correlatio...
The plot.corr() function was updated, now it can1. Add colorkey and text labels more flexible.2. Reorder the variables using PCA or hierarchical clustering methods.3. Excellent in details.4. Other.What's more, I found a new method to display correlatio...
See in my Picasa here and get corrplot package here. Thanks Bob O'Hara's advice:)I found people's tastes differ, so input parameter col (fill color) and bg (background color) was added in new edition. What is more, now you can order your variables usin...
See in my Picasa here and get corrplot package here. Thanks Bob O'Hara's advice:)I found people's tastes differ, so input parameter col (fill color) and bg (background color) was added in new edition. What is more, now you can order your variables usin...
The code was shared on my google docs. See it here.
The code was shared on my google docs. See it here.
Color Imagedata(mtcars)fit = lm(mpg ~ ., mtcars)cor = summary(fit, correlation = TRUE)$correlationcor2 = t(cor)colors = c("#A50F15", "#DE2D26", "#FB6A4A", "#FCAE91", "#FEE5D9","white", "#EFF3FF", "#BDD7E7", "#6BAED6", "#3182BD", "#08519C")image(1:11, 1:11, cor2, axes = FALSE, ann = F, col = colors)text(rep(1:11, 11), rep(1:11, each = 11), round(100 * cor2))Ellipseslibrary(ellipse)col =
Color Imagedata(mtcars)fit = lm(mpg ~ ., mtcars)cor = summary(fit, correlation = TRUE)$correlationcor2 = t(cor)colors = c("#A50F15", "#DE2D26", "#FB6A4A", "#FCAE91", "#FEE5D9","white", "#EFF3FF", "#BDD7E7", "#6BAED6", "#3182BD", "#08519C")image(1:11, 1:11, cor2, axes = FALSE, ann = F, col = colors)text(rep(1:11, 11), rep(1:11, each = 11), round(100 * cor2))Ellipseslibrary(ellipse)col =
Unison graph and parallel coordinate graph share similar thought in visualising the difference of multidimensional data, thought the former is much more complicated. Based on iris data, we can see their performance.Parallel coordinate graphAndrews' Cur...