tidyverse

问题 Plotting counts using ggplot2's geom_bar(stat="identity") is an effective method of visualising counts. I would like to use this method to display my observed counts and compare them to expected counts I would like to do this by using geom_step to overlay a stairstep plot layer over the barplot. However when I do this I run into the problem that barplots by default have their positions dodged but geom_step does not. For example using both continuous and discrete dependent variables: library

问题 Plotting counts using ggplot2's geom_bar(stat="identity") is an effective method of visualising counts. I would like to use this method to display my observed counts and compare them to expected counts I would like to do this by using geom_step to overlay a stairstep plot layer over the barplot. However when I do this I run into the problem that barplots by default have their positions dodged but geom_step does not. For example using both continuous and discrete dependent variables: library

问题 I have a dataframe structured like this: birthwt tobacco01 pscore pscoreblocks blocknumber 3425 0 0.18 (0.177, 0.187] 1 3527 1 0.15 (0.158, 0.168] 2 1638 1 0.34 (0.335, 0.345] 3 Explaining the data : The birthwt column is a continuous variable measuring birth weight in grams. The tobacco01 column contains values of 0 or 1. The pscore column contains probability values between 0 and 1. The pscoreblocks takes the pscore column and breaks it down into 100 equally sized blocks. The block number

问题 I have a dataframe structured like this: birthwt tobacco01 pscore pscoreblocks blocknumber 3425 0 0.18 (0.177, 0.187] 1 3527 1 0.15 (0.158, 0.168] 2 1638 1 0.34 (0.335, 0.345] 3 Explaining the data : The birthwt column is a continuous variable measuring birth weight in grams. The tobacco01 column contains values of 0 or 1. The pscore column contains probability values between 0 and 1. The pscoreblocks takes the pscore column and breaks it down into 100 equally sized blocks. The block number

问题 I am following the instructions laid out here to create a clean table of summary statistics. In these instructions, the input to the summary_table() function is a list of lists, as shown here: our_summary1 <- list("Miles Per Gallon" = list("min" = ~ min(.data$mpg), "max" = ~ max(.data$mpg), "mean (sd)" = ~ qwraps2::mean_sd(.data$mpg)), "Displacement" = list("min" = ~ min(.data$disp), "median" = ~ median(.data$disp), "max" = ~ max(.data$disp), "mean (sd)" = ~ qwraps2::mean_sd(.data$disp)),

问题 I have an array of numbers (I think the format makes it a pivot table) that I want to turn into a "tidy" data frame. For example, I start with variable 1 down the left, variable 2 across the top, and the value of interest in the middle, something like this: X Y A 1 2 B 3 4 I want to turn that into a tidy data frame like this: V1 V2 value A X 1 A Y 2 B X 3 B Y 4 The row and column order don't matter to me, so the following is totally acceptable: value V1 V2 2 A Y 4 B Y 3 B X 1 A X For my first

问题 This is my reproducible example : #http://gekkoquant.com/2012/05/26/neural-networks-with-r-simple-example/ library("neuralnet") require(ggplot2) traininginput <- as.data.frame(runif(50, min=0, max=100)) trainingoutput <- sqrt(traininginput) trainingdata <- cbind(traininginput,trainingoutput) colnames(trainingdata) <- c("Input","Output") Hidden_Layer_1 <- 1 # value is randomly assigned Hidden_Layer_2 <- 1 # value is randomly assigned Threshold_Level <- 0.1 # value is randomly assigned net.sqrt

问题 This is my reproducible example : #http://gekkoquant.com/2012/05/26/neural-networks-with-r-simple-example/ library("neuralnet") require(ggplot2) traininginput <- as.data.frame(runif(50, min=0, max=100)) trainingoutput <- sqrt(traininginput) trainingdata <- cbind(traininginput,trainingoutput) colnames(trainingdata) <- c("Input","Output") Hidden_Layer_1 <- 1 # value is randomly assigned Hidden_Layer_2 <- 1 # value is randomly assigned Threshold_Level <- 0.1 # value is randomly assigned net.sqrt

问题 Following the previous two questions: removing the first 3 rows of a group with conditional statement in r Assigning NAs to rows with conditional statement in r I'm having some troubles with my code. If Instead of deleting rows, I want to assign NAs to every event that has in their first row a Value higher than 2. So, if an event is having in its first row a Value higher than 2, I want to assign NA to that row, and to the coming two rows of that event. If the event has no more rows, just

问题 Following the previous two questions: removing the first 3 rows of a group with conditional statement in r Assigning NAs to rows with conditional statement in r I'm having some troubles with my code. If Instead of deleting rows, I want to assign NAs to every event that has in their first row a Value higher than 2. So, if an event is having in its first row a Value higher than 2, I want to assign NA to that row, and to the coming two rows of that event. If the event has no more rows, just