summary

问题 One of the great things about pivot tables in excel is that they provide subtotals automatically. First, I would like to know if there is anything already created within dplyr that can accomplish this. If not, what is the easiest way to achieve it? In the example below, I show the mean displacement by number of cylinders and carburetors. For each group of cylinders (4,6,8), I'd like to see the mean displacement for the group (or total displacement, or any other summary statistic). library

问题 I wanted to make a simple linear model ( lm() ) without intercept coefficient so I put -1 in my model formula as in the following example. The problem is that the R-squared return by summary(myModel) seems to be overestimated. lm() , summary() and -1 are among the very classic function/functionality in R. Hence I am a bit surprised and I wonder if this is a bug or if there is any reason for this behaviour. Here is an example: x <- rnorm(1000, 3, 1) mydf <- data.frame(x=x, y=1+x+rnorm(1000, 0,

问题 I'm a SAS programmer trying to learn R. If SAS, I would do this to save results of descriptive stats into a dataset: proc means data=abc; var var1 var2 var3; ods output summary=result1; run; I think in R, it would be this: summary(abc)->result1 Someone told me to do this. as.data.frame(unclass(summary(new_scales)))->new_table But the result in this table is not very usable. Is there away to get a better structured result like I would get from SAS PROC MEANS? I would like columns to look like:

问题 I was sent a dataset with multiple dummy variables and other variables as well. Basically what I´d like to do is create summary table with summary.formula from rms. However, I do not know how to create a single variable from the multiple dummy variables and they are not mutually exclusive. Is this at all possible. Of course I could do it creating a table etc, but then I cannot use summary.formula and I´d like the summary.formula output to include just the individual levels of the dummy

问题 I am running regression analysis in R and unsure how to export my regression analysis results directly into Excel in standard regression table format (with significance level stars, standard errors, p-value , 95% confidence interval, R-sqr , F-test ). In stata, I would use the outreg2 command, which automatically generates a regression table, and I was wondering, if R has a similar code? For example: reg <- lm(imbd_score ~ budget + duration + year + cast_total_facebook_likes, data = imbd)

问题 I am trying to create a report to display a summary of the values of the columns for each row. A basic analogy would an inventory listing. Say I have about 15 locations like 2A, 2B, 2C, 3A, 3B, 3C etc. Each location has a variety of items and the items each have a specific set of common descriptions, i.e. a rating of 1-9, Boolean Y or N, another Boolean Y or N. It looks something like this: 2A 4 Y N 2A 5 Y Y 2A 5 N Y 2A 6 N N ... 2B 4 N Y 2B 4 Y Y ...etc. What I would like to produce is a

问题 Can you transfer / copy the output of a summary method (shown below) to an excel sheet? > summary(p2p_dt_SKILL_A[p2p_dt_SKILL_A$Patch %in% c("BVG1")]) Patch Skill Date TOR_MWF TOR_MA TOR_DL TOR_A TT_PR_TSK_A TT_PR_TSK_DL BVG1 :100 A :100 Min. :2014-01-17 Min. :4.050 Min. :3.740 Min. :3.720 Min. :3.830 Min. : 98.49 Min. :104.8 BVG11: 0 BROADBAND : 0 1st Qu.:2014-07-09 1st Qu.:4.718 1st Qu.:4.550 1st Qu.:3.958 1st Qu.:4.100 1st Qu.:105.07 1st Qu.:109.9 BVG12: 0 CAL : 0 Median :2014-12-29 Median

问题 I am a grad student using R and have been reading the other Stack Overflow answers regarding removing rows that contain NA from dataframes. I have tried both na.omit and complete.cases. When using both it shows that the rows with NA have been removed, but when I write summary(data.frame) it still includes the NAs. Are the rows with NA actually removed or am I doing this wrong? na.omit(Perios) summary(Perios) Perios[complete.cases(Perios),] summary(Perios) 回答1: The error is that you actually

问题 How do I calculate summary statistics (mean and standard deviation) for python datetime objects in the form YYYY-MM-DD? I want to do this for different groups of datetime obejcts which have different IDs. Here's what the data look like: import datetime as dt df = pd.DataFrame({ 'Date': [dt.date(2017,9,1),dt.date(2017,9,21),dt.date(2017,9,14), dt.date(2017,11,7),dt.date(2017,8,1),dt.date(2017,12,21), dt.date(2017,12,14),dt.date(2017,10,1),dt.date(2017,10,1)], 'ID': [1,2,3,3,2,1,2,3,2], }) Date

问题 I'm trying to compute for students' General Weighed Average (GWA) in my ASP.NET website My Formula is (in SQL) ROUND(SUM((UnitsAcademic*Grade))/SUM(UnitsAcademic),3) So far, here's my ASP.NET. I'd want to compute the GWA using ASP.NET. Now I'm kinda stuck. ASPX <asp:ListView OnItemDataBound="listviewGrade_ItemDataBound" ID="listviewGrade" runat="server" DataSourceID="sqlGrade" DataKeyNames="GradebookDetailId"> <LayoutTemplate> <table class="Container8" > <tbody> <tr> <th>Subject Code</th> <th