r

问题 I have two lists of dataframes that I want to combine, I have tried the following: A <- data.frame(ID = c(1,2,3), var1 = c(3,4,5), var2 = c(6,3,2)) B <- data.frame(ID = c(1,2,3), var1 = c(4,4,5), var2 = c(6,7,3)) C <- data.frame(ID = c(1,2,3), var1 = c(1,4,8), var2 = c(9,2,3)) list1 <- list(A = A, B = B, C = C) list2 <- list(A = A, B = B) combined <- map2(list1, list2, full_join, by = 'ID') This returns an error that the two lists are of different lengths. The only other way I have thought of

问题 I have two lists of dataframes that I want to combine, I have tried the following: A <- data.frame(ID = c(1,2,3), var1 = c(3,4,5), var2 = c(6,3,2)) B <- data.frame(ID = c(1,2,3), var1 = c(4,4,5), var2 = c(6,7,3)) C <- data.frame(ID = c(1,2,3), var1 = c(1,4,8), var2 = c(9,2,3)) list1 <- list(A = A, B = B, C = C) list2 <- list(A = A, B = B) combined <- map2(list1, list2, full_join, by = 'ID') This returns an error that the two lists are of different lengths. The only other way I have thought of

问题 I would like to return values with matching conditions in another column based on a cut score criterion. If the cut scores are not available in the variable, I would like to grab closest larger value. Here is a snapshot of dataset: ids <- c(1,2,3,4,5,6,7,8,9,10) scores.a <- c(512,531,541,555,562,565,570,572,573,588) scores.b <- c(12,13,14,15,16,17,18,19,20,21) data <- data.frame(ids, scores.a, scores.b) > data ids scores.a scores.b 1 1 512 12 2 2 531 13 3 3 541 14 4 4 555 15 5 5 562 16 6 6

问题 I'm trying to rotate the R package based igraph network plot. In the igraph guidebook not enough explanation how to use R code tk_rotate(tkp.id, degree = NULL, rad = NULL) 回答1: For the R package igraph according to the documentation: the tk_rotate rotates the figure, its parameter can be given either in degrees or in radians. Of particular note is the argument tkp.id . Make sure you assign the tkplot window to this value so you can reference it as the tkp.id in the function. tkp.id The id of

问题 I have millions of json-files, where each of the files contains the same number of columns, lets say x and y . Note that the length of x and y is equal for a single file, but could be different when comparing two different files. The problem is that the only thing that separates the data is the name of the file. So when combining the files I'd like to have the name of the file included as a third column. Is this possible using sparklyr::spark_read_json , i.e. when using wildcards? MWE:

问题 I'm looking to download all of the sheets in a single google sheet in R. I'm currently using the gsheet package by [maxconway][1] , which allows me to download a sheet using its URL, but it only works on individual sheets, which are differentiated by a gid . The set of google sheets I'm trying to download has over 100 sheets, which makes downloading them one by one with gsheet massively inconvenient - does anyone know of any R packages that automate this or of any way to loop through all of

问题 I'm looking to download all of the sheets in a single google sheet in R. I'm currently using the gsheet package by [maxconway][1] , which allows me to download a sheet using its URL, but it only works on individual sheets, which are differentiated by a gid . The set of google sheets I'm trying to download has over 100 sheets, which makes downloading them one by one with gsheet massively inconvenient - does anyone know of any R packages that automate this or of any way to loop through all of

问题 I'm using ggplot2 , which by default creates histograms with fixed bin widths and whose bin labels are plotted in the center of each bin. What I want instead is a variable-width histogram whose bin labels are representative of the end points of each bin, like this plot: To produce this example plot, I manually entered the bin parameters and shifted the bins to align them with their end points: income=data.frame(lx=c(0,10,25,50,100),rx=c(10,25,50,100,150),y=c(20,28,27,18,7)) income$width =

问题 I am trying to scrape data frame the following website http://stats.nba.com/game/0041700404/playbyplay/ I'd like to create a table that includes the date of the game, the scores throughout the game, and the team names I am using the following code: game1 <- read_html("http://stats.nba.com/game/0041700404/playbyplay/") #Extracts the Date html_nodes(game1, xpath = '//*[contains(concat( " ", @class, " " ), concat( " ", "game-summary-team--vtm", " " ))]//*[contains(concat( " ", @class, " " ),

问题 I need to plot a grouped barplot with different error bars for each bar in each group. I have managed to plot the chart and add the error bars but they are not positioned correctly on the graph (see below) I know I know I need to somehow tell the errorbars which Genotype they need to be attached to, but I'm not quite sure how. I have tried to use this: Grouped barplot in R with error bars but can't work out what's different. Code: ggplot(data=leaf_level) + geom_bar(aes(x=factor(DAS), y=Total