Updated Nov 1, 2024 R aeturrell / skimpy Star 391 Code Issues Pull requests skimpy is a light weight tool that provides summary statistics about variables in data frames within the console. data-science statistics exploratory-data-analysis eda pandas summary-statistics Updated Oct 30, 2024 Py...
bmass: Bayesian multivariate analysis of summary statisticsThe bmass R package provides accessible functions for running the algorithms described in Stephens 2013 PLOS ONE and applied to multiple large, publicly available GWAS datasets in Turchin and Stephens 2019 PLOS Genetics. bmass conducts a ...
Summary statistics for a resampling objectsobjectobject
So let’s go through on an example datato understand how statistics can be overlayed in ggplot2. The data is about the effects of two Herbicides (glyphosate & bentazone) on the yield of white mustard (Sinapis alba) seeds. First, import ggplot2 package and read in the data. library(ggpl...
You have already seen many of the statistical functions in R, but in this chapter, you get a more complete list. You also will learn how R calculates and, more important, reports the statistical results. We cover the standard descriptive statistics from a business statistics class. If you ...
Summary statistics represent a key primitive for profiling and protecting operational networks. Many network operators routinely measure properties such as throughput, traffic mix, and heavy hitters. Likewise, security monitoring often deploys statistica
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summary(data)# Summary statistics of data frame# x1 x2 x3# Min. :1.00 Min. : 6.00 Length:6# 1st Qu.:2.25 1st Qu.: 7.25 Class :character# Median :3.50 Median : 8.50 Mode :character# Mean :3.50 Mean : 8.50# 3rd Qu.:4.75 3rd Qu.: 9.75# Max. :6.00 Max. :11.00 ...
# Create a local data frame DF <- data.frame(sex = c("Male", "Male", "Female", "Male"), age = c(20, 20, 12, 10), score = 1.1:4.1) # get summary of sex variable rxSummary(~ sex, DF) # obtain within sex-category statistics of the score variable rxSummary(score ~ sex, ...
R-package which allows the user to fit structural equation models based on the summary statistics obtained from genome wide association studies (GWAS). Note that a recent update includes the ability to automatically obtain Q_SNP results without running a separate follow-up model. Until explicitly ...