summary

Obtaining Separate Summary Statistics by Categorical Variable with Stargazer Package

由 强颜欢笑 提交于 2019-11-30 07:29:14
问题 I would like to use stargazer to produce summary statistics for each category of a grouping variable. I could do it in separate tables, but I'd like it all in one – if that is not unreasonably challenging for this package. For example library(stargazer) stargazer(ToothGrowth, type = "text") #> #> ========================================= #> Statistic N Mean St. Dev. Min Max #> ----------------------------------------- #> len 60 18.813 7.649 4.200 33.900 #> dose 60 1.167 0.629 0.500 2.000 #> -

Is it possible to obtain class summary at runtime?

由 老子叫甜甜 提交于 2019-11-30 05:56:45
问题 Is it possible to obtain class summary at runtime in C#? I would like to obtain class summary through reflection and then write it to console. By class summary I mean summary comments before class definition, something like this: /// <summary> /// some description /// </summary> class SomeClass { } I don't know if these comments are available after compiling the code, but if they are maybe there is a way to obtain them in code. Thanks in advance for help. 回答1: I once messed with this a while

using dplyr's do() with summary()

由 依然范特西╮ 提交于 2019-11-30 05:28:01
问题 I would like to be able to use dplyr 's split-apply-combine strategy to the apply the summary() command. Take a simple data frame: df <- data.frame(class = c('A', 'A', 'B', 'B'), value = c(100, 120, 800, 880)) Ideally we would do something like this: df %>% group_by(class) %>% do(summary(.$value)) Unfortunately this does not work. Any ideas? 回答1: You can use the SE version of data_frame , that is, data_frame_ and perform: df %>% group_by(class) %>% do(data_frame_(summary(.$value)))

Create summary table of categorical variables of different lengths

由 一曲冷凌霜 提交于 2019-11-30 04:54:55
问题 In SPSS it is fairly easy to create a summary table of categorical variables using "Custom Tables": How can I do this in R? General and expandable solutions are preferred, and solutions using the Plyr and/or Reshape2 packages, because I am trying to learn those. Example Data: (mtcars is in the R installation) df <- colwise(function(x) as.factor(x) ) (mtcars[,8:11]) P.S. Please note, my goal is to get everything in one table like in the picture. I have been strugling for many hours but my

How to analyze a JMeter summary report?

由 天大地大妈咪最大 提交于 2019-11-30 00:03:49
I get the following result when I run a load test. Can any one help me to read the report? the number of thread = '500 ' ramp up period = '1' Sample = '500' Avg = '20917' min = '820' max = '48158' Std Deviation = '10563.178194669255' Error % = '0.046' throughput = '10.375381295262601' KB/Sec = `247.05023046315702` Avg. Bytes = '24382.664' Short explanation looks like: Sample - number of requests sent Avg - an Arithmetic mean for all responses (sum of all times / count) Minimal response time (ms) Maximum response time (ms) Deviation - see Standard Deviation article Error rate - percentage of

How can you hide the arrow that is displayed by default on the HTML5 <details> element in Chrome?

由 风流意气都作罢 提交于 2019-11-29 22:06:17
I now its still early but I also know you guys are on top of it. I want to use the HTML5 details element : <details> <summary>What's the HTML5 details element?</summary> <p>The details element represents a disclosure widget from which the user can obtain additional information or controls.</p> </details> As of this writing, Chrome 12 beta is the only browser to actually give the details element functionality (clicking on summary toggles the details content). So to answer the following question you'll probably want to use that browser. Do you know how you can hide the arrow that is displayed by

Summary statistics by two or more factor variables?

由 我的梦境 提交于 2019-11-29 21:55:27
This is best illustrated with an example str(mtcars) mtcars$gear <- factor(mtcars$gear, labels=c("three","four","five")) mtcars$cyl <- factor(mtcars$cyl, labels=c("four","six","eight")) mtcars$am <- factor(mtcars$am, labels=c("manual","auto") str(mtcars) tapply(mtcars$mpg, mtcars$gear, sum) That gives me the summed mpg per gear. But say I wanted a 3x3 table with gear across the top and cyl down the side, and 9 cells with the bivariate sums in, how would I get that 'smartly'. I could go. tapply(mtcars$mpg[mtcars$cyl=="four"], mtcars$gear[mtcars$cyl=="four"], sum) tapply(mtcars$mpg[mtcars$cyl==

Android preferences summary default color?

由 北城以北 提交于 2019-11-29 21:46:45
问题 I have installed my app in a real phone, and even though in the emulator all the texts of the preferences summaries seem to be in the same color, in the real phone the color is different (some kind of blue... but I guess it depends on the phone's model). How can I set this color to my custom preference component? (I have implemented my own seek bar, and its summary text color is different from all the other components text color...). Thanks! 回答1: I found these: android:textAppearance="

Java Data Structures Reference

由 浪子不回头ぞ 提交于 2019-11-29 21:33:13
Can anyone give me references of a web site containing a summary of the main Java data structures, and their respective complexity in time (for some given operations like add, find, remove), e.g. Hashtable s are O(1) for finding, while LinkedList s are O(n). Some details like memory usage would be nice too. This would be really helpful for thinking in data structures for algorithms. Matthew Nizol Is there a reason to think that Java's implementation is different (in terms of complexity) than a generic, language agnostic implementation? In other words, why not just refer to a general reference

How to extend the 'summary' function to include sd, kurtosis and skew?

由 冷暖自知 提交于 2019-11-29 13:43:59
R's summary function works really well on a dataframe, giving, for example: > summary(fred) sum.count count sum value Min. : 1.000 Min. : 1.0 Min. : 1 Min. : 0.00 1st Qu.: 1.000 1st Qu.: 6.0 1st Qu.: 7 1st Qu.:35.82 Median : 1.067 Median : 9.0 Median : 10 Median :42.17 Mean : 1.238 Mean : 497.1 Mean : 6120 Mean :43.44 3rd Qu.: 1.200 3rd Qu.: 35.0 3rd Qu.: 40 3rd Qu.:51.31 Max. :40.687 Max. :64425.0 Max. :2621278 Max. :75.95 What I'd like to do is modify the function so it also gives, after 'Mean', an entry for the standard deviation, the kurtosis and the skew. What's the best way to do this? I
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