subset

问题 The problem I have is, my search criteria is: Row["colName"] != "abc" AND Row["colName"] != "def" AND Row["colName"] != "ghic" AND Row["colName"] != "klm" AND Row["colName"] != "xyz" AND Row["colName"] != "mnp" etc.. in other words, after my research I found something about DefaultView of the DataTable and RowFilter , but Rowfilter seems to filter only by one value. My situation is I need to filter by a bunch of values. Thanks 回答1: You could use Linq-To-DataTable and a collection of values to

问题 I have a data frame similar to the one below, called df. I want to plot subsets of this data, from say May 2012 to June 2014 . I had been using the plot function to plot the entire data frame, however, when I split it up into subsets of the plot I get the same plot no matter what portion of the data I select. Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 NA NA NA NA NA NA 13.724575 13.670017 13.782099 13.675788 13.442914 13.279969 2012 13.114463 13.021268 12.999545 12.990171 12.898018

问题 I have a netcdf file that uses multidimensional coordinates. My xarray dataset looks like this <xarray.Dataset> Dimensions: (Time: 48, bottom_top: 50, bottom_top_stag: 51, soil_layers_stag: 4, south_north: 1015, south_north_stag: 1016, west_east: 1359, west_east_stag: 1360) Coordinates: XLAT (Time, south_north, west_east) float32 18.1363 18.1456 ... XLAT_U (Time, south_north, west_east_stag) float32 18.1316 ... XLAT_V (Time, south_north_stag, west_east) float32 18.1198 ... XLONG (Time, south

问题 I am trying to figure out how to subset a survey design objects dynamically. I have structured my loop to send in character strings, and don't know how to remove the quotes so R reads it as a call. I would like to loop through some like this (although this will obviously break because SUBSET_VARIABLE %in% 4 needs to be a call NOT a string. : design <- svydesign( ~1 , weight = ~wt , data = mtcars ) for( SUBSET_VARIABLE in c("gear","carb") ){ design <- subset( design , SUBSET_VARIABLE %in% 4 )

问题 I have a type, say Inductive Tt := a | b | c. What's the easiest and/or best way to define a subtype of it? Suppose I want the subtype to contain only constructors a and b . A way would be to parametrize on a two-element type, e.g. bool: Definition filt (x:bool): Tt := match x with | true => a | false => b end. Check filt true: Tt. This works but is very awkward if your expression has several (possibly interdependent) subtypes defined this way. Besides, it works only half way, as no subtype

问题 Let's say I have a table like this: post user date ____ ____ ________________ 1 A 12.01.2014 13:05 2 B 15.01.2014 20:17 3 A 16.01.2014 05:22 I want to create a smaller table (but not delete the original one!) containing all posts of - for example - user A including the dates that those were posted on. When looking at MATLAB's documentation (see the very last part for deleting rows) I discovered that MATLAB allows you to create a mask for a table based on some criterion. So in my case if I do

问题 Super short version: I'm trying to use a user-defined function to populate a new column in a dataframe with the command: TestDF$ELN<-EmployeeLocationNumber(TestDF$Location) However, when I run the command, it seems to just apply EmployeeLocationNumber to the first row's value of Location rather than using each row's value to determine the new column's value for that row individually. Please note: I'm trying to understand R, not just perform this particular task. I was actually able to get the

问题 My data frame has over 120 columns (variables) and I would like to create subsets bases on column names. For example I would like to create a subset where the column name includes the string "mood". Is this possible? 回答1: I generally use SubData <- myData[,grep("whatIWant", colnames(myData))] I know very well that the "," is not necessary and colnames could be replaced by names but it would not work with matrices and I hate to change the formalism when changing objects. 来源： https:/

问题 I need to pull records from a first data set (called df1 here) based on a combination of specific dates, ID#s, event start time, and event end time that match with a second data set ( df2 ). Everything works fine when there is just 1 date, ID, and event start and end time, but some of the matching records between the data sets contain multiple IDs, dates, or times, and I can't get the records from df1 to subset properly in those cases. I ultimately want to put this in a FOR loop or

问题 I have a dataset where I want to remove the occurences of month 11 in the first observation year for a couple of my individuals. Is it possible to do this with ifelse? Something like: ifelse(ID=="1" & Month=="11" and Year=="2006", "remove these rows", ifelse(ID=="2" & Month=="11" & Year=="2007", "remove these rows", "nothing")) As always, all help appreciated! :) 回答1: You don't even need the ifelse() if all you want is an indicator of which to remove or not. ind <- (Month == "11") & ((ID ==