subset

问题 The Problem I wrote a function to use data.table programmatically. The function is as follows transformVariables4 <- function(df_1n_data, c_1n_variablesToTransform, c_1n_newVariableNames, f_01_functionToTransform, ...) { for (i in 1:length(c_1n_variablesToTransform)) { df_1n_data[, c(c_1n_newVariableNames[i]) := list(forceAndCall(n = 1, FUN = f_01_functionToTransform, df_1n_data[[c_1n_variablesToTransform[i]]], ...))] } return(df_1n_data) } The function works fine for this scenario df <- data

问题 The Problem I wrote a function to use data.table programmatically. The function is as follows transformVariables4 <- function(df_1n_data, c_1n_variablesToTransform, c_1n_newVariableNames, f_01_functionToTransform, ...) { for (i in 1:length(c_1n_variablesToTransform)) { df_1n_data[, c(c_1n_newVariableNames[i]) := list(forceAndCall(n = 1, FUN = f_01_functionToTransform, df_1n_data[[c_1n_variablesToTransform[i]]], ...))] } return(df_1n_data) } The function works fine for this scenario df <- data

问题 Here is the code that I came up with: static void findNumbers(int[] list, int index, int current, int goal, String result) { if (list.length < index || current>goal) return; for (int i = index; i < list.length; i++) { if (current + list[i] == goal) { System.out.println(result + " " + String.valueOf(list[i])); } else if (current + list[i] < goal) { findNumbers(list, i + 1, current + list[i], goal, result + " " + String.valueOf(list[i])); } } } Call it using: findNumbers(array, starting_index,

问题 I’m fairly new to R and it would be great if you could help out with this problem as i havent been able to find any answers to this problem online. This is part of my data frame (DF) (it goes on until 2008 in this format) Counter Date Hour counts 1245 26/05/2006 0 1 1245 26/05/2006 100 0 1245 26/05/2006 200 2 1245 26/05/2006 300 0 1245 26/05/2006 400 5 1245 26/05/2006 500 3 1245 26/05/2006 600 9 1245 26/05/2006 700 10 1245 26/05/2006 800 15 This is my question: I need to subset my code so

问题 I am working with ggplot2 and have a question about how to subset data for plots. I have the following dataset (example) and need to create a line plot comparing Q1 data by year of Company A. x= 2015 Q1, 2016 Q1, 2017 Q1 y= Data for Company A Company Year Quarter Data A 2015 Q1 1 B 2015 Q1 2 C 2015 Q1 3 A 2015 Q2 4 B 2015 Q2 5 C 2015 Q2 6 A 2015 Q3 7 B 2015 Q3 8 C 2015 Q3 9 A 2016 Q1 10 B 2016 Q1 11 C 2016 Q1 12 A 2016 Q2 13 B 2016 Q2 14 C 2016 Q2 15 A 2016 Q3 17 B 2016 Q3 18 C 2016 Q3 19 For

问题 I have two needs, both connected to a dataset similar to the reproducible one below. I have a list of 18 entities, each composed of a list of 17-19 data.frames. Reproducible dataset follows (there are matrices instead of data.frames, but I do not suppose that makes a difference): test <- list(list(matrix(10:(50-1), ncol = 10), matrix(60:(100-1), ncol = 10), matrix(110:(150-1), ncol = 10)), list(matrix(200:(500-1), ncol = 10), matrix(600:(1000-1), ncol = 10), matrix(1100:(1500-1), ncol = 10)))

问题 I have two needs, both connected to a dataset similar to the reproducible one below. I have a list of 18 entities, each composed of a list of 17-19 data.frames. Reproducible dataset follows (there are matrices instead of data.frames, but I do not suppose that makes a difference): test <- list(list(matrix(10:(50-1), ncol = 10), matrix(60:(100-1), ncol = 10), matrix(110:(150-1), ncol = 10)), list(matrix(200:(500-1), ncol = 10), matrix(600:(1000-1), ncol = 10), matrix(1100:(1500-1), ncol = 10)))

问题 how can I subset a h2o frame in python. if x is a df & Origin is a variable then in pandas we generally can do subsetting by x[x.Origin == 'AAF'] but with h2o frame it gives the following error: "H2OResponseError: Server error java.lang.IllegalArgumentException: Error: Name lookup of 'x.hex' failed" 回答1: There are a number of different ways to slice an H2OFrame, row-wise. The methods are outlined in the H2O User Guide section on Slicing Rows. Here is an Python example of subsetting an

问题 I'm quite new at Coq and trying to develop a framework based on my research. My work is quite definition-heavy and I'm having trouble encoding it because of how Coq seems to treat sets. There are Type and Set , which they call 'sorts', and I can use them to define a new set: Variable X: Type. And then there's a library encoding (sub)sets as 'Ensembles', which are functions from some Type to a Prop . In other words, they are predicates on a Type : Variable Y: Ensemble X. Ensemble s feel more

问题 I would like to multiply several columns in my data frame by a vector of values. The specific vector of values changes depending on the value in another column. --EDIT-- What if I make the data set more complicated, i.e., more than 2 conditions and the conditions are randomly shuffled around the data set? Here is an example of my data set: df=data.frame( Treatment=(rep(LETTERS[1:4],each=2)), Species=rep(1:4,each=2), Value1=c(0,0,1,3,4,2,0,0), Value2=c(0,0,3,4,2,1,4,5), Value3=c(0,2,4,5,2,1,4