Show a dot.chart with error bars for different groups or variables
Yet one more of the graphical ways of showing data with error bars for different groups.
A dot.chart with error bars for different groups or variables is found using from describe
, describeBy
, statsBy
or data from bestScales
.
error.dots(x=NULL, var = NULL, se = NULL, group = NULL, sd = FALSE, effect=NULL, stats=NULL, head = 12, tail = 12, sort = TRUE, decreasing = TRUE, main = NULL, alpha = 0.05, eyes = FALSE, min.n = NULL, max.labels = 40, labels = NULL, label.width=NULL, select=NULL, groups = NULL, gdata = NULL, cex = par("cex"), pt.cex = cex, pch = 21, gpch = 21, bg = par("bg"), fg=par("fg"), color = par("fg"), gcolor = par("fg"), lcolor = "gray", xlab = NULL, ylab = NULL, xlim = NULL,add=FALSE,order=NULL, ...)
x |
A data frame or matrix of raw data, or the resulting object from |
var |
The variable to show (particularly if doing describeBy or StatsBy plots). |
se |
Source of a standard error |
group |
A grouping variable, if desired. Will group the data on group for one variable (var) |
sd |
if FALSE, confidence intervals in terms of standard errors, otherwise draw one standard deviation |
effect |
Should the data be compared to a specified group (with mean set to 0) in effect size units? |
stats |
A matrix of means and se to use instead of finding them from the data |
head |
The number of largest values to report |
tail |
The number of smallest values to report |
sort |
Sort the groups/variables by value |
decreasing |
Should they be sorted in increasing or decreasing order (from top to bottom) |
main |
The caption for the figure |
alpha |
p value for confidence intervals |
eyes |
Draw catseyes for error limits |
min.n |
If using describeBy or statsBy, what should be the minimum sample size to draw |
max.labels |
Length of labels (truncate after this value) |
labels |
Specify the labels versus find them from the row names |
label.width |
Truncate after labels.width |
select |
Scale the plot for all the variables, but just show the select variables |
groups |
ignored: to be added eventually |
gdata |
ignored |
cex |
The standard meaning of cex for graphics |
pt.cex |
ignored |
pch |
Plot character of the mean |
gpch |
ignored |
bg |
background color (of the dots showing the means) |
fg |
foreground color (of the line segments) |
color |
Color of the text labels |
gcolor |
ignored |
lcolor |
ignored until groups are implemented |
xlab |
Label the x axis, if NULL, the variable name is used |
ylab |
If NULL, then the group rownames are used |
xlim |
If NULL, then calculated to show nice values |
add |
If TRUE, will add the plot to a previous plot (e.g., from dotchart) |
order |
if sort=TRUE, if order is NULL, sort on values, otherwise, if order is returned from a previous figure, use that order. |
... |
And any other graphic parameters we have forgotten |
Adapted from the dot.chart function to include error bars and to use the output of describe
, describeBy
, statsBy
, fa
, bestScales
or cohen.d
.
To speed up multiple plots, the function can work from the output of a previous run. Thus describeBy will be done and the results can be show for multiple variables.
If using the add=TRUE option to add an error.dots plot to a dotplot, note that the order of variables in dot plots goes from last to first (highest y value is actually the last value in a vector.) Also note that the xlim parameter should be set to make sure the plots line up correctly.
Returns (invisibily) either a describeBy or describe object as well as the order if sorted
William Revelle
Used in particular for showing https://sapa-project.org output.
describe
, describeBy
, or statsBy
as well as error.bars
, error.bars.by
, statsBy
, bestScales
or cohen.d
temp <- error.dots(psychTools::bfi[1:25],sort=TRUE, xlab="Mean score for the item, sorted by difficulty") error.dots(psychTools::bfi[1:25],sort=TRUE, order=temp$order, add=TRUE, eyes=TRUE) #over plot with eyes error.dots(psychTools::ability,eyes=TRUE, xlab="Mean score for the item") cd <- cohen.d(psychTools::bfi[1:26],"gender") temp <- error.dots(cd, select=c(1:15,21:25),head=12,tail=13, main="Cohen d and confidence intervals of BFI by gender") error.dots(cd,select=c(16:20),head=13,tail=12,col="blue",add=TRUE,fg="red" ,main="") abline(v=0)
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