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cran submission 0.3.0
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IndrajeetPatil committed Mar 1, 2022
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2 changes: 1 addition & 1 deletion DESCRIPTION
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Type: Package
Package: datawizard
Title: Easy Data Wrangling
Version: 0.2.3.9005
Version: 0.3.0
Authors@R: c(
person("Dominique", "Makowski", , "[email protected]", role = "aut",
comment = c(ORCID = "0000-0001-5375-9967", Twitter = "@Dom_Makowski")),
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4 changes: 3 additions & 1 deletion NEWS.md
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# datawizard 0.2.3.9005
# datawizard 0.3.0

- New functions:

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* To rotate data frames: `data_rotate()`.

* To reverse score variables: `data_reverse()`.

* To merge/join multiple data frames: `data_merge()` (or its alias
`data_join()`).

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2 changes: 1 addition & 1 deletion cran-comments.md
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Expand Up @@ -13,5 +13,5 @@

We checked 11 reverse dependencies, comparing R CMD check results across CRAN and dev versions of this package.

* We saw 1 new problem: *modelbased* package is already broken on CRAN and its breakage isn't related to the current update.
* We saw 0 new problems.
* We failed to check 0 packages.
9 changes: 9 additions & 0 deletions inst/WORDLIST
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Expand Up @@ -21,6 +21,9 @@ Mundlak
PHQ
PSU
REWB
Ranktransform
Recode
Recoding
Rescale
Rescaling
Routledge
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github
https
io
labelled
labelling
leptokurtic
lme
meaned
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proprties
pth
quartiles
recode
recoded
recodes
recoding
reproducibility
rescale
rescaled
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2 changes: 1 addition & 1 deletion vignettes/demean.Rmd
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Expand Up @@ -165,7 +165,7 @@ model_parameters(fe_model2)[2:3, ]
library(lfe)
fe_model3 <- felm(
QoL ~ time + phq4 | ID,
data = qol_cancer
data = qol_cancer
)
model_parameters(fe_model3)
```
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4 changes: 2 additions & 2 deletions vignettes/standardize_data.Rmd
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Expand Up @@ -198,7 +198,7 @@ emotion <- emotion %>% filter(Emotion_Condition == "Negative")
# Summary
emotion %>%
subset(!(is.na(Subjective_Valence) | is.na(Autobiographical_Link))) %>%
subset(!(is.na(Subjective_Valence) | is.na(Autobiographical_Link))) %>%
group_by(Participant_ID) %>%
summarise(
n_Trials = n(),
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Mean = mean(Subjective_Valence),
SD = sd(Subjective_Valence)
) %>%
cbind(DF = df_name, .) %>%
cbind(DF = df_name, .) %>%
head(5) %>%
select(DF, everything())
}
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