quantile

问题 The quantile functions gives us the quantile of a given pandas series s , E.g. s.quantile(0.9) is 4.2 Is there the inverse function (i.e. cumulative distribution) which finds the value x such that s.quantile(x)=4 Thanks 回答1: I had the same question as you did! I found an easy way of getting the inverse of quantile using scipy. #libs required from scipy import stats import pandas as pd import numpy as np #generate ramdom data with same seed (to be reproducible) np.random.seed(seed=1) df = pd

问题 The quantile functions gives us the quantile of a given pandas series s , E.g. s.quantile(0.9) is 4.2 Is there the inverse function (i.e. cumulative distribution) which finds the value x such that s.quantile(x)=4 Thanks 回答1: I had the same question as you did! I found an easy way of getting the inverse of quantile using scipy. #libs required from scipy import stats import pandas as pd import numpy as np #generate ramdom data with same seed (to be reproducible) np.random.seed(seed=1) df = pd

问题 When I run a quantile regression in R, using the quantreg package, and then I run summary(quantregObject) , I get this error message: Error in base::backsolve(r, x, k = k, upper.tri = upper.tri, transpose = transpose, : singular matrix in 'backsolve'. First zero in diagonal [1] Any suggestion how could I fix this problem? 回答1: In short, try: summary(quantregObject, se = "iid") which puts a strong assumption on your residuals. Or if you need accuracy use a boot strap to get the standard errors

问题 I am trying to get the five types of bootstrap intervals for linear and quantile regression. I was able to bootstrap and find the 5 boostrap intervals (Quantile,Normal,Basic,Studentized and BCa) for the linear regression using Boot from car and boot.ci from boot . When i tried to do the same for quantile regression using rq from quantreg , it throws up an error. Here is the sample code Creating the model library(car) library(quantreg) library(boot) newdata = Prestige[,c(1:4)] education.c =

问题 I need help in understanding how the quantile function works in numpy . because the answers do not match with other quantile calculators. arr = [1,2,3,4,5] print("arr : ", arr) print("Q2 quantile of arr : ", np.quantile(arr, .50)) print("Q1 quantile of arr : ", np.quantile(arr, .25)) print("Q3 quantile of arr : ", np.quantile(arr, .75)) I expected the output of Q1 to be 1.5 and Q3 to be 4.5 I verified it using an online calculator. It also differs from the answer given by numpy . Can someone

问题 I'm using spark-sql-2.4.1v, and I'm trying to do find quantiles i.e. percentile 0, percentile 25, etc, on each column of my given data. As I am doing multiple percentiles, how to retrieve each calculated percentile from the results? Here an example, having data as show below: +----+---------+-------------+----------+-----------+ | id| date|total_revenue|con_dist_1| con_dist_2| +----+---------+-------------+----------+-----------+ |3310|1/15/2018| 0.010680705| 6|0.019875458| |3310|1/15/2018| 0

问题 I'm using spark-sql-2.4.1v, and I'm trying to do find quantiles i.e. percentile 0, percentile 25, etc, on each column of my given data. As I am doing multiple percentiles, how to retrieve each calculated percentile from the results? Here an example, having data as show below: +----+---------+-------------+----------+-----------+ | id| date|total_revenue|con_dist_1| con_dist_2| +----+---------+-------------+----------+-----------+ |3310|1/15/2018| 0.010680705| 6|0.019875458| |3310|1/15/2018| 0

问题 I'm using spark-sql-2.4.1v, and I'm trying to do find quantiles, i.e. percentile 0, percentile 25, etc, on each column of my given data. As I am doing multiple percentiles, how to retrieve each calculated percentile from the results? My dataframe df : +----+---------+-------------+----------+-----------+ | id| date| revenue|con_dist_1| con_dist_2| +----+---------+-------------+----------+-----------+ | 10|1/15/2018| 0.010680705| 6|0.019875458| | 10|1/15/2018| 0.006628853| 4|0.816039063| | 10

问题 I am using spark-sql-2.4.1v in my project with java8. I need to calculate the quantiles on the some of the (calculated) columns (i.e. con_dist_1 , con_dist_2 ) of below given dataframe df : +----+---------+-------------+----------+-----------+ | id| date| revenue |con_dist_1| con_dist_2| +----+---------+-------------+----------+-----------+ | 10|1/15/2018| 0.010680705| 6|0.019875458| | 10|1/15/2018| 0.006628853| 4|0.816039063| | 10|1/15/2018| 0.01378215| 4|0.082049528| | 10|1/15/2018| 0

问题 I am using spark-sql-2.4.1v in my project with java8. I need to calculate the quantiles on the some of the (calculated) columns (i.e. con_dist_1 , con_dist_2 ) of below given dataframe df : +----+---------+-------------+----------+-----------+ | id| date| revenue |con_dist_1| con_dist_2| +----+---------+-------------+----------+-----------+ | 10|1/15/2018| 0.010680705| 6|0.019875458| | 10|1/15/2018| 0.006628853| 4|0.816039063| | 10|1/15/2018| 0.01378215| 4|0.082049528| | 10|1/15/2018| 0