transformation

问题 I would like to plot the line and the 95% confidence interval from a linear model where the response has been logit transformed back on the original scale of the data. So the result should be a curved line including the confidence intervals on the original scale, where it would be a straight line on the logit transformed scale. See code: # Data dat <- data.frame(c(45,75,14,45,45,55,65,15,3,85), c(.37, .45, .24, .16, .46, .89, .16, .24, .23, .49)) colnames(dat) <- c("age", "bil.") # Logit

问题 I want to traverse and flatten a big JSON file that has following structure showing a product hierarchie (think of it as navigation in an online shop): productGroups: [ { "key": "child 1" ... "childrenProductGroups": [ { "key": "child 1.1", ..., "childrenProductGroups": [] }, { "key": "child 1.2" ... "childrenProductGroups": [ { "key": "child 1.2.1", ..., "childrenProductGroups": [ { "key": "child 1.2.1.1", ..., childrenProductGroups": [ ... ] } ] }, { "key": "child 1.2.2", ...,

问题 I want to traverse and flatten a big JSON file that has following structure showing a product hierarchie (think of it as navigation in an online shop): productGroups: [ { "key": "child 1" ... "childrenProductGroups": [ { "key": "child 1.1", ..., "childrenProductGroups": [] }, { "key": "child 1.2" ... "childrenProductGroups": [ { "key": "child 1.2.1", ..., "childrenProductGroups": [ { "key": "child 1.2.1.1", ..., childrenProductGroups": [ ... ] } ] }, { "key": "child 1.2.2", ...,

问题 I want to traverse and flatten a big JSON file that has following structure showing a product hierarchie (think of it as navigation in an online shop): productGroups: [ { "key": "child 1" ... "childrenProductGroups": [ { "key": "child 1.1", ..., "childrenProductGroups": [] }, { "key": "child 1.2" ... "childrenProductGroups": [ { "key": "child 1.2.1", ..., "childrenProductGroups": [ { "key": "child 1.2.1.1", ..., childrenProductGroups": [ ... ] } ] }, { "key": "child 1.2.2", ...,

问题 I want to traverse and flatten a big JSON file that has following structure showing a product hierarchie (think of it as navigation in an online shop): productGroups: [ { "key": "child 1" ... "childrenProductGroups": [ { "key": "child 1.1", ..., "childrenProductGroups": [] }, { "key": "child 1.2" ... "childrenProductGroups": [ { "key": "child 1.2.1", ..., "childrenProductGroups": [ { "key": "child 1.2.1.1", ..., childrenProductGroups": [ ... ] } ] }, { "key": "child 1.2.2", ...,

问题 Does Kotlin provide a mutation function to split a list when a specific predicate is true? In the following example the list should be split when the element is a . . The result should be of the type List<List<String>> . // input list val list = listOf( "This is", "the", "first sentence", ".", "And", "now there is", "a second", "one", ".", "Nice", "." ) // the following should be the result of the transformation listOf( listOf("This is", "the", "first sentence"), listOf("And", "now there is",

问题 Does Kotlin provide a mutation function to split a list when a specific predicate is true? In the following example the list should be split when the element is a . . The result should be of the type List<List<String>> . // input list val list = listOf( "This is", "the", "first sentence", ".", "And", "now there is", "a second", "one", ".", "Nice", "." ) // the following should be the result of the transformation listOf( listOf("This is", "the", "first sentence"), listOf("And", "now there is",

来源： https://stackoverflow.com/questions/63910689/transformed-dirichlet-array-with-range-1-1-in-numpy

来源： https://stackoverflow.com/questions/44677103/applying-several-functions-in-transform-in-pandas

来源： https://stackoverflow.com/questions/59677464/transform-only-the-styling-of-a-path2d