calculate_mddw: Function to recode 18 food items into 10 food groups specific...
In validmeasures/wfpKenya: The World Food Programme Kenya Country Strategic Plan Outcome Monitoring
Description
Usage
Arguments
Value
Examples
View source: R/04-calculate_mddw.R
Description
Function to recode 18 food items into 10 food groups specific to MDDW.
Usage
1
2
3
4
calculate_mddw(
df,
vars = c("mddw1", "mddw2", "mddw3", "mddw4", "mddw5", "mddw6")
)
Arguments
df
Dataframe containing Maternal Dietary Diversity for Women
variables.
vars
Variable names of MDDW-relevant information.
Value
A dataframe with number of rows equal to number of rows of df
and columns for each of the 10 food groups relevent to MDDW recoded into 1
(consumed) or 0 (not consumed), for total number of food groups consumed,
and whether a minimum of 5 food groups have been consumed.
Examples
1
validmeasures/wfpKenya documentation built on Feb. 12, 2020, 7:14 p.m.
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Description Usage Arguments Value Examples
View source: R/04-calculate_mddw.R
Description
Function to recode 18 food items into 10 food groups specific to MDDW.
Usage
1 2 3 4 | calculate_mddw(
df,
vars = c("mddw1", "mddw2", "mddw3", "mddw4", "mddw5", "mddw6")
)
|
Arguments
df |
Dataframe containing Maternal Dietary Diversity for Women variables. |
vars |
Variable names of MDDW-relevant information. |
Value
A dataframe with number of rows equal to number of rows of df
and columns for each of the 10 food groups relevent to MDDW recoded into 1
(consumed) or 0 (not consumed), for total number of food groups consumed,
and whether a minimum of 5 food groups have been consumed.
Examples
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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