select_phases() now works when phase variable is not “phase”estimate_design() was broken and is fixed now.print() function for sc_designfixed.transform(): Takes a scdf and calculates or modifies variables for each case (transform(exampleAB, z_values = scale(values), t_values = 50 + z_values * 10)).smd() reporting various types of standardized mean differences.readSC() -> read_scdf()writeSC() -> write_scdf()design_rSC() -> design()rSC() -> random_scdf()power_test() with various extensions, optimizations, and solved various bugs. rewrote the print method, added an argument duration to print the computation duration. Added the 'n_trials' argument for binomial distributions. Extended the help page.design() and its print method. Extended the help page. Rewrote the algorithm for the ‘binomial’ distribution.plm(): rewrote the analysis function for binomial tests. These now need an argument var_trials to define the number of trials per measurement. The dvar_percentage argument must be set TRUE when the dependent variables are percentages (and family = 'binomal').random_scdf(). Rewrote the algorithm for ‘poisson’ distributed measures. Rewrote the algorithm for the ‘binomial’ distribution. Extended the help page.read_scdf(): extracts filetype from file extension.read_scdf(): New yaml import options for scdf filesAnna:
values:
A: [1, 3, 4, 5, 6, 7]
B: [8, 9, 10, 10, 11]
Toni:
values:
A: [2, 3, 4, 5, 6, 7]
B: [3, 9, 10, 10,11]
control_var: [1,2,3,4,5,6,7,8,1,2,3]tau_u() #51: Added option for confidence intervals for tau_u output.describe(): solved wrong calculation of Hedges G when phase length differed.plm() solved #46: throws no error, when a phase is of length 1.corrected_tau() solved #48: throws warning when A phase has less than three rows.%>% operator for some time before switching to |>.add_l2, select_phases, select_cases, subset, set_vars, set_dvar, set_mvar, set_pvar.sample_names(): Returns a character vector of length n with names by randomly drawing from a name list: type = {“neutral”, “female”, “male”, “mixed”}. Useful to anonymize scdf files-add_l2(): Adds the variables from a second level 2 data frame to an scdf matched by an id variable (default is case).
Leidig2018 %>%
add_l2(Leidig2018_l2) %>%
hplm(update.fixed = .~. + gender + migration + ITRF_TOTAL*phaseB,
slope = FALSE, random.slopes = FALSE, lr.test = FALSE)select_phases(): selects and recombines phases into A and B phase (equivalent to the phases argument of various functions, but useful when using %>% operators).set_vars(): change the core variables of an scdf (arguments dvar for dependent variable, pvar for phase variable, and mvar for measurement-time variable).
set_dvar(), set_mvar(), set_pvar(): Shortcuts to set dvar, mvar, or pvar in a piping script e.g. exmpleAB_add %>% set_dvar("depression") %>% describe()
is.scdf(): Tests if an object is of type “scdf” or not.check_scdf(): Checks for the validity of an scdf object (mainly used for internal tests)convert(): Creates an scdf syntax file from an scdf object.# Create a syntax to code the scdf exampleAB and write it into an R file
convert(exampleAB, file = "cases.R")cdc: Applies the Conservative Dual-Criterion Method (CDC; Fisher, Kelley, & Lomas, 2003) to scdf objects.overlap(): Added Hedges-g.plot.scdf(): Koenig’s bi-split / quarter intersect (lines = “trendA_bisplit”) and Tukey’s tri-split / Wald’s slope (lines = “trendA_trisplit”).plot.scdf(): Now allows for multiple lines with different line styles.plot(
exampleAB,
lines = list(
list(type = "median", col = "red", lwd = 0.5),
list(type = "trend", col = "blue", lty = "dashed", lwd = 2),
list(type = "loreg", f = 0.2, col = "green", lty = "solid", lwd = 1)
)
)tau_u(): Solved bug in meta analysis #6. Reworked the complete function to be more clear and accurate. Added method_meta switching between fixed and random-effect meta analyses. Reworked the print function to look nicer.
export(): Reworked the html output. Added a basic output for tau_u. Arguments caption and footnote allow to specify appearance (if left NA object specific output is generated.). booktab = TRUE is now set as a default for kable options.
The following functions were deprecated since 2017 and are now removed from scan:
makesingleSC()makeSCDF(): Please use scdf instead.estimateSC(): Please use estimate_design()power.testSC(): Please use power_test()print.scdf() now prints cases when all variable names are wider than the current screen with.describe() as the new alias for describeSC()plot.scdf(), style_plot(): New options to style casenames: names which takes a list with tag = value structure. Example:new_style <- style_plot()
new_style$names$side <- 3
new_style$names$line <- -1.7
new_style$names$col <- "darkred"
new_style$names$cex <- 1.5
new_style$names$at <- 20
new_style$names$adj <- 1
new_style$names$font <- 3
plot(exampleAB_decreasing, style = new_style)plot.scdf(), style_plot(): Different background colors for different phases:new_style <- style_plot()
new_style$fill.bg <- c("aliceblue", "mistyrose1", "honeydew")
new_style$lty.seperators <- 0
plot(exampleABC, style = new_style)subset() function (method from base subset() for selecting variables, rows, and cases. It takes the arguments subset, select, and cases.subset(exampleAB, (values < 60 & phase == "A") | (values >= 60 & phase == "B"))
subset(exampleAB_add, select = c(-cigarrets, -depression))
subset(exampleA1B1A2B2, phase %in% c("A1", "B2"), cases = Pawel:Moritz)select_cases() function.select_cases(exampleAB, "Johanna", "Karolina")
select_cases(exampleAB, 1,2)
select_cases(exampleAB, "-Johanna")SC extension from function names e.g. overlapSC() becomes overlap()see: https://jazznbass.github.io/scan-Book/the-scan-package.html#changes-with-version-0.50