How to merge two columns into one column How to merge/replace data in a table when importing new data from csv How to migrate data to tables with foreign key constraints in correct sequence ? How to migrate Ora
Step 7: Install and load dplyr to manipulate datasets in R > install.packages("dplyr") > library(dplyr) Attaching package: ‘dplyr’ The following objects are masked from ‘package:stats’: filter, lag The following objects are masked from ‘package:base’: intersect, setdiff, setequal, union...
I have two datasets, and I would like to merge with one code. but the coding system is different. the dataset1's code is three numbers, say, 123, the dataset2's code is four numbers, say, 0123 so I would like first create a new variable icode2=input (substr(code,2,3)...
Open each workbook and click Merge in the Scenario Manager dialog box in the original workbook. Select the workbook containing the scenarios that you want to merge. Things to Remember ➜ If a value is not found in the referenced cell, the #N/A! error is displayed. ➜ The #VALUE!
A SAS program consists of steps you submit for execution. Each step performs a specific task, and there are only two types: DATA steps: where you create, import, modify, merge, or calculate data PROC steps: a group of statements that call and execute a procedure, usually with a SAS data...
How to Compress a SAS Data Set There are two methods by which to implement data set compression in the SAS System. Perhaps the most common is to add the COMPRESS=YES data set option in the data step. This option is placed in parentheses adjacent to the name of the new data set being...
How to merge two datasets together when one set has multiple instances of something I want to merge subset in a dataframe R functions: how to return the results correctly cdata to summarise confidence intervals? Time Series Subsetting by NA and length Plot only Q-Q from ANOVA Th...
I have been using the dataset Class from sashelp.class as data source to illustrate what I would like to do. So, here's the case scenario. We have many datasets, from dataset1 to dataset4. In each dataset, we have 5 records except the last one (dataset4) which has 4 ...
This is similar to SAS and SPSS datasets. d <- c(1,2,3,4) e <- c("red", "white", "red", NA) f <- c(TRUE,TRUE,TRUE,FALSE) mydata <- data.frame(d,e,f) names(mydata) <- c("ID","Color","Passed") # variable names There are a variety of ways to identify the elem...
SAS data values come in only two types, numeric (floating point numbers, i.e. the computer equivalent of the mathematical real numbers), and fixed length character strings. There is a significant cost in time converting digits and decimals to the floating point form used in SAS; consequently...