summary

Quite often I need to calculate a new column for an R dataframe (in long form), whose value should depend on an aggregate function (e.g. sum) of a group. For instance, I might want to know what fraction of sales a product accounts for on any given day: daily fraction = revenue for product i on day d / sum or revenue for all products on day d My current strategy is to summarise and join: library(dplyr) join_summary <- function(data, ...) left_join(data, summarise(data, ...)) data = data.frame( day = c(1,1,2,2,3,3), product = rep(c("A", "B"), 3), revenue = c(2, 4, 8, 7, 9, 2) ) data2 <- data %>%

This question already has an answer here: How to sum a variable by group 13 answers I have a dataframe that contains a plot ID (plotID), tree species code (species), and a cover value (cover). You can see there are multiple records of tree species within one of the plots. How can I sum the "cover" field if there are duplicate "species" rows within each plot? For example, here is some sample data: # Sample Data plotID = c( "SUF200001035014", "SUF200001035014", "SUF200001035014", "SUF200001035014", "SUF200001035014", "SUF200046012040", "SUF200046012040", "SUF200046012040", "SUF200046012040",

We are trying to generate column wise statistics of our dataset in spark. In addition to using the summary function from statistics library. We are using the following procedure: We determine the columns with string values Generate key value pair for the whole dataset, using the column number as key and value of column as value generate a new map of format (K,V) ->((K,V),1) Then we use reduceByKey to find the sum of all unique value in all the columns. We cache this output to reduce further computation time. In the next step we cycle through the columns using a for loop to find the statistics

Here is my code. <details> <summary>1</summary> Demo 1 </details> <details> <summary>2</summary> Demo 2 </details> <details> <summary>3</summary> Demo 3 </details> What I want to do is -- if the details of any single <details> tag is open and I open/view another <details> tag, then the earlier one should close/hide/minimize. How can this be achieved? I'm aware the <details> tag is not supported in IE or Edge. Another approach, slightly shorter, slightly more efficient, without dependencies , and without onclick attributes in the HTML. // Fetch all the details element. const details = document

On my preference screen I have a preference that when clicked opens a color picker dialog. What I would like to do is when the user selects a color, that the text summary of the preference is displayed in that color. I know I can have the summary set up like this, Currently <font color="#ff0000">this color</font> and have it display in that color. The problem is the color I am getting back is the android int color. I could use the red(), green(), blue() methods and then convert those to Hex and then combine them into a string so I could set the summary text with the new value and that works:

Is there somewhere a list of all possibilities, to define dependencies in an Eclipse RCP project? maybe filtered by resources? Possible dependencies: from other Eclipse RCP Plugins by package, without explicitely defining the plugin jar libs ... as you said, you can use the following directives in the MANIFEST.MF to define dependencies Require-Bundle (for depending on specified bundles) Import-Package (for depending on packages available by export from other bundles) Bundle-Classpath (for embedded paths(!) and JARs) also, when you create a Fragment , it must define its Fragment-Host , of

say i have 5 summary for 5 sets of data. how can i get those number out or combine the summary in to 1 rather than 5 V1 V2 V3 V4 Min. : 670.2 Min. : 682.3 Min. : 690.7 Min. : 637.6 1st Qu.: 739.9 1st Qu.: 737.2 1st Qu.: 707.7 1st Qu.: 690.7 Median : 838.6 Median : 798.6 Median : 748.3 Median : 748.3 Mean : 886.7 Mean : 871.0 Mean : 869.6 Mean : 865.4 3rd Qu.:1076.8 3rd Qu.:1027.6 3rd Qu.:1070.0 3rd Qu.: 960.8 Max. :1107.8 Max. :1109.3 Max. :1131.3 Max. :1289.6 V5 Min. : 637.6 1st Qu.: 690.7 Median : 748.3 Mean : 924.3 3rd Qu.: 960.8 Max. :1584.3 how can i have 1 table looks like v1 v2 v3 v4 v5