Comments (1)
You are using annotation
etc. in a way they are not intended:
annotation
etc. are supposed only to work with objects of class "item" which are expected to be in a "data.set" object rather than a "data.frame" or "data.table" object.- There is no support for "data.table" objects yet.
To get what you apparently want, try:
library(memisc)
library(data.table)
data(mtcars)
## This is necessary to get things working ...
mtcars <- as.data.set(mtcars)
mtcars <- within(mtcars, {
description(vs) <- "whatever"
description(am) <- "something unclear"
description(carb) <- "something different"
wording(vs) <- "this is going to be a long comment"
labels(vs) <- c(
"many" = 1,
"not so many" = 0
)
labels(carb) <- c(
"one" = 1,
"two" = 2,
"three" = 3
)
missing.values(carb) <- c(4,6, 8)
})
codebook(mtcars)
annotation(mtcars) <- "my long story"
annotation(mtcars)
mtcars
## To get a data frame, use
# as.data.frame(mtcars)
from memisc.
Related Issues (20)
- omit specific covariates in mtable [question] HOT 1
- summary.stats.default is unused HOT 1
- Fails to import variable with duplicate labels HOT 13
- Measure info and Custom Attributes HOT 2
- Probable issue with record length HOT 16
- Saving files to XLSX HOT 2
- Exhibit odds ration in the regression estimates table [question] HOT 2
- library(memisc) causes functions to print NAMESPACE cache information HOT 9
- Issue with new version of spss.system.file HOT 9
- Error when generating codebook HOT 8
- write_html error HOT 1
- as.character(as.item(..., missing.values = 0, ...)) returns NA instead of a string HOT 5
- deduplicate_labels() is painfully slow on large datasets HOT 2
- mtable() summary.stats not showing R-squared HOT 1
- unable to read spss HOT 1
- `cases` function won't recognize conditions involving `is.na()` HOT 1
- spss.fixed.file() dropping final observation HOT 4
- CRAN Update Request HOT 1
- Can you send me /memisc.0.99.22? HOT 2
- Error when missing.values="" HOT 7
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from memisc.