generated from EcologyR/templateRpackage
-
Notifications
You must be signed in to change notification settings - Fork 2
/
README.Rmd
518 lines (405 loc) · 18.9 KB
/
README.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
---
output: github_document
editor_options:
markdown:
wrap: 72
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# labeleR
<!-- badges: start -->
`r badger::badge_cran_release()`
![](https://img.shields.io/github/r-package/v/EcologyR/labeleR)
[![R-CMD-check](https://github.com/EcologyR/labeleR/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/EcologyR/labeleR/actions/workflows/R-CMD-check.yaml)
`r badger::badge_lifecycle("stable")`
`r badger::badge_repostatus("Active")`
[![HitCount](https://hits.dwyl.com/EcologyR/labeleR.svg?style=flat-square)](https://hits.dwyl.com/EcologyR/labeleR)
[![HitCount](https://hits.dwyl.com/EcologyR/labeleR.svg?style=flat-square&show=unique)](https://hits.dwyl.com/EcologyR/labeleR)
[![](https://cranlogs.r-pkg.org/badges/grand-total/labeleR)](https://cran.r-project.org/package=labeleR)
<!-- badges: end -->
<img src="man/figures/labeleR.png" width="140px" align="right"/>
This is a package to create your own labels, certificates, and much
more! :)
If you need to create your attendance or participation certificates,
accreditation badges, herbarium or collection labels, labeleR is the
package you need! Keep an eye on this easy tutorial on how to use it!
## Installing labeleR
To install the latest stable version of **labeleR** from CRAN, just use
`install.packages()` function.
```{r install labeleR CRAN, eval=F}
install.packages("labeleR")
```
However, if you want to install the latest version of **labeleR** from
GitHub, you might need to install the *devtools* package. Once you have
it, you just have to specify the repository and install!
```{r install labeleR GH, eval=F}
# install.packages("devtools")
devtools::install_github("EcologyR/labeleR")
```
If you want to clone the repository, you can find the code
[here](https://github.com/EcologyR/labeleR).
### TinyTeX
**labeleR** depends on LaTeX, so you must have it also installed. We
recommend using [TinyTeX](https://yihui.org/tinytex/).
First, you would need to install the `tinytex` R package, and then run
the installation:
```{r install LaTeX, eval=F}
# install.packages("tinytex")
tinytex::install_tinytex()
```
The first time you install tinytex or use **labeleR** it may take a
while until all packages are correctly installed. Don't worry, it will
be much quicker next time!
#### TinyTeX troubleshooting
In case you have problems installing `TinyTeX`'s packages, try running
this in your console:
```{r TinyTeX pkgs, eval = FALSE}
tinytex::tlmgr_install(pkgs = c( "zref", "needspace", "pagecolor",
"bookmark", "changepage", "fp",
"mdframed", "ms", "pgf",
"pspicture", "qrcode"))
```
## 1. Getting started
```{r load labeleR, eval = FALSE}
library("labeleR")
```
### 1.1 Loading the data
The very first thing you need to start using labeleR is a data frame
where the information is included. This data frame can be imported to
the R environment reading it from a file (e.g. a '.csv' file or '.xlsx'
excel sheet, using `read.table()`, `readxl::read_excel()`, and alike
functions), but it can be also imported from Google Sheets.
To do so, you could use `gsheet2tbl` function from `gsheet` package,
specifying the Google Sheet URL:
```{r loading_data}
library(gsheet)
#URL: https://docs.google.com/spreadsheets/d/1inkk3_oNvvt8ajdK4wOkSgPoUyE8JzENrZgSTFJEFBw/edit#gid=0
people_list_long <- gsheet2tbl("1inkk3_oNvvt8ajdK4wOkSgPoUyE8JzENrZgSTFJEFBw")
```
A key point to bear in mind is that the Google Sheet document must grant
at least view access to anyone with the link; otherwise R will not be
able to open it.
### 1.2 Some advice for the labeleR functions
When using labeleR's functions, there are some widely used arguments and
nomenclature that must be acknowledged.
The first required argument in all functions is `data`, which is the
data frame that has been previously loaded. The second one is `path`,
which is the folder where the output PDFs will be stored. In case the
specified folder does not exist, it will be automatically created. In
case you want to name the output PDF file in a certain way, you must
specify it using the `filename` argument. Additionally, you can store
the created intermediate files (e.g. RMarkdown, picture files) using
`keep.files = TRUE`.
Ultimately, labeleR uses its own templates to create the documents.
However, these can be modified for specific purposes. To do so, open a
new RMarkdown file in RStudio, using the labeleR template you want to
edit, and after saving it locally, specify its directory path in the
`template` argument.
Pictures (such as logos or signatures) are included in some templates.
For these, argument names are `lpic` (standing for left picture, in the
top), `rpic` (right picture, also in the top) and `signature.pic`
(signature picture) in the certificates; and `logo` in the collection
label. In all these cases the path to the picture file must be provided.
As for the parameters nomenclature, there are two kinds. "Fixed
parameters" are those that remain the same in all the certificates (e.g.
the name of a conference in an accreditation, or the name of a speaker
in an attendance certificate). These parameters are named using a unique
word (e.g. `event` or `speaker`), and can be filled in using free text
that will be printed in all documents. On the other hand, "variable
parameters" are those which vary among documents, and therefore differ
among rows (e.g. attendees names to a conference, or species in
herbarium labels). To specify the column of data in which this
information is stored, two-word parameters are used (i.e. `name.column`
or `species.column`). The only parameter that does not follow this
philosophy is `qr` in the functions that allow to plot them (i.e.
`create_herbarium_label`, `create_collection_label` and
`create_tiny_label`). This parameter can be set as a column name, which
will result in variable parameter, or as a free text (not column name),
which will be used as a fixed one.
## 2. labeleR functions
Now let's start using labeleR!
To help you see the structure of our templates in a more visual way, we
will display some examples inspired in the Harry Potter universe.
### 2.1 Attendance certificates
Attendance certificates are one of the easiest templates; the only
variable parameter is the name of the attendees. Our template allows to
include a signature as an image, so the signer does not have to go
through them all. This certificate is available both in English and
Spanish. In case pictures look too big or small, we recommend to modify
their size, as they are set to have a given height.
The structure of the certificate looks as follows.
| ![Attendance certificate (blank)](man/figures/Attendance_blank.png) |
|---------------------------------------------------------------------|
#### Attendance certificate example:
In this example, we create four different certificates for four students
of Hogwarts School, in which the Headmaster certifies they have attended
200 h of the Potions class.
```{r create attendance certificates, eval=FALSE}
create_attendance_certificate(
data = attendance.table,
path = "labeleR_output",
filename = "attendance_certificates",
language = "English" ,
name.column = "Names",
type = "class",
title = "Potions (year 1992-1993)",
date = "23/06/1993",
hours = "200",
freetext = "taught by Professor S. Snape",
signer = "A.P.W.B. Dumbledore",
signer.role = "School Headmaster",
rpic = system.file("rmarkdown/pictures/Hogwarts_logo.png", package = "labeleR"),
lpic = system.file("rmarkdown/pictures/Hogwarts_logo.png", package = "labeleR"),
signature.pic = system.file("rmarkdown/pictures/dumbledore.png", package = "labeleR")
)
```
In this example, each certificate will be rendered in an individual PDF
document.
| ![Attendance certificates](man/figures/Attendance_certificates.png) |
|---------------------------------------------------------------------|
### 2.2 Participation certificates
Participation certificates are similar to the previous, but with more
variable parameters (such as speaker, title and type of communication,
etc.). As well as the attendance certificate, these documents can be
rendered in English and in Spanish.
+-----------------------------------------------------------------------+
| ![Participation certificate |
| (blank)](man/figures/Participation_blank.png) |
+=======================================================================+
| |
+-----------------------------------------------------------------------+
#### Participation certificate example:
Here, Albus Dumbledore certifies that four of the school teachers have
participated in some seminars with different titles, different
affiliations, dates and communication types.
```{r create participation certificates, eval=FALSE}
create_participation_certificate(
data = participation.table,
path = "labeleR_output",
filename = "participation_certificates",
language = "English",
name.column = "Name",
affiliation.column = "House",
comm.type.column = "Comm.type",
title.column = "Title",
date.column = "Date",
type = "online",
event = "seminar",
freetext = "organized by Hogwarts School of Magic and Wizardry",
signer = "A.P.W.B. Dumbledore",
signer.role = "School Headmaster",
rpic = system.file("rmarkdown/pictures/Hogwarts_logo.png", package = "labeleR"),
lpic = system.file("rmarkdown/pictures/MinMagic.png", package = "labeleR"),
signature.pic = system.file("rmarkdown/pictures/dumbledore.png", package = "labeleR")
)
```
In this example, each certificate will be rendered in an individual PDF
document.
+-----------------------------------------------------------------------+
| ![Participation |
| certificate](man/figures/Participation_certificates.png) |
+=======================================================================+
| |
+-----------------------------------------------------------------------+
#### **NOTE:** To see how to send certificates automatically *via* email, go to the FAQ section!
### 2.3 Badges
Badges (and all documents from now onward) are rendered in a single
document, with eight accreditation cards per DIN-A4 page in this case.
They have only two variable fields (name and affiliation), and can
include two top images, although are not signed. Accreditation cards
include a dot line in the bottom for individual hand-edition.
| ![Badges (blank)](man/figures/Badges_blank.png) |
|-------------------------------------------------|
#### Badges example:
As an example, we present the accreditation cards that might have been
used in the International Conference of Muggleology, where the only
changing fields are names and affiliations of attendees.
```{r create accreditations, eval=FALSE}
create_badge(
data = badges.table,
path = "labeleR_output",
filename = "badges",
event = "INTERNATIONAL CONFERENCE OF MUGGLEOLOGY",
name.column = "List",
affiliation.column = "Affiliation",
rpic = system.file("rmarkdown/pictures/Hogwarts_logo.png", package = "labeleR"),
lpic = system.file("rmarkdown/pictures/MinMagic.png", package = "labeleR")
)
```
| ![Badges example](man/figures/Badges.png) |
|-------------------------------------------|
### 2.4 Herbarium labels
Herbarium labels are one of the documents with more variable parameters,
as there is a lot of information to be included. Here, we have used a
template we believe is the most useful, but we have included three free
fields for the user to include the information they prefer. Of course, a
field's name does not force the user to use it for that category
(location can be set in the elevation column, on top; and vice versa),
but the `family.column` content will always be capitalized, and the
`taxon.column` one in italics, so we recommend to use them as stated.
As said before, the QR can stand for a free text (and therefore remain
identical in all labels), or be a column name, and therefore the codes
will be rendered to specify the individual information in each row.
Including too long texts may cause the alteration of the structure of
the labels, so we recommend to be concise.
| ![Herbarium label (blank)](man/figures/Herbarium_blank.png) |
|-------------------------------------------------------------|
#### Herbarium labels example:
In this example, we show the labels some students have created for their
herbarium assignment of the Herbology class.
```{r herbarium labels, eval=FALSE}
create_herbarium_label(
data = herbarium.table,
path = "labeleR_output",
filename = "herbarium_labels",
qr = "QR_code",
title ="Magical flora of the British Isles" ,
subtitle = "Project: Eliminating plant blindness in Hogwarts students",
family.column = "Family",
taxon.column = "Taxon",
author.column = "Author",
det.column = "det",
date.det.column = "Det_date",
location.column = "Location",
area.description.column = "Area_description",
latitude.column = "Latitude",
longitude.column = "Longitude",
elevation.column = "Elevation",
field1.column = "life_form",
field2.column = "Observations",
field3.column = "Height",
collector.column = "Collector",
collection.column = "Collection_number",
assistants.column = "Assistants",
date.column = "Date"
)
```
| ![Herbarium labels example](man/figures/Herbarium_labels.png) |
|---------------------------------------------------------------|
### 2.5 Collection labels
Collection labels are one of the most aesthetic labels. They have five
variable parameters (which are not recommended to be too long, as
explained in the herbarium labels), along with the possibility of
including a QR code (fixed or variable), a logo image. Field 1 will be
capitalized (as in `family.column` in the herbarium label, and Field 2
italicized). Any of the fields can be left blank.
As a novelty, the user may manually fix the backgroud and text colors to
their preference, using HTML color codes (same code as HEX, but without
the '\#'). By default, background colors are two hues of green.
+-----------------------------------------------------------------------+
| ![Collection labels (blank)](man/figures/collection_labels_blank.png) |
+-----------------------------------------------------------------------+
#### Collection labels example:
In this example we can see six labels created for the school's displayed
collection of stuffed animals.
```{r collection labels, eval=FALSE}
create_collection_label(
data = collection.table,
path = "labeleR_output",
filename = "labels",
qr = "QR_code",
field1.column = "field1",
field2.column = "field2",
field3.column = "field3",
field4.column = "field6",
field5.column = "field7",
system.file("rmarkdown/pictures/Hogwarts_BnW.png", package = "labeleR"),
bgcolor = "D0ECC1", #White is "FFFFFF",
textcolor = "1E3F20" #Black is "000000"
)
```
| ![Collection labels example](man/figures/collection_labels.png) |
|-----------------------------------------------------------------|
### 2.6 Collection tinylabels
This type of labels is a simplified version of the previous, and
includes just five variable fields and the possibility of including a QR
code.
We recommend as in the previous cases not to include too long texts
neither in the variable parameters nor in the QR, as they can become
difficult to read.
Tinylabels are printed in arrays of 8x2 labels per page. In case this
size is too big for the pretended use (as can happen for small insect
collections, for example), we recommend to use the "print several pages
per sheet" in the printer's options.
| ![Tinylabels (blank)](man/figures/tinylabels_blank.png) |
|---------------------------------------------------------|
#### Tinylabels example:
Here, tinylabels are created for typical collections stored in boxes, so
a normal collection label would be too big.
```{r tinylabels, eval=FALSE}
create_tiny_label(
data = tiny.table,
qr = "QR_code",
path = "labeleR_output",
filename = "tinylabels",
field1.column ="field2",
field2.column ="field1",
field3.column ="field3",
field4.column ="field4",
field5.column ="field5"
)
```
| ![Tinylabels example](man/figures/tinylabels.png) |
|---------------------------------------------------|
## 3. Frequently Asked Questions
### Including italic or bold texts within a single text
This implementation should be used just to change text formats in only a
part of values stored in columns (variable parameters).
To do so, you must edit the cell value, specifying where the italics text must start
with `\\textit` (or `\\emph`, which allows to open italics in a reular text, and vice-versa), and `\\end` where it ends; and `\\textbf` followed by
`\\end` for bold text. In case you want to combine both, you will have
to specify `\\end` twice.
For example, this could be helpful to include italics in a species name
which is included as part of a title; where just the species name should
be italicized.
```{r custom italics, eval=FALSE}
seminar.table <- data.frame(
"Name" = "Rubeus Hagrid",
"Date" = "01/01/1996",
"Title" = "Population dynamics of a species of giant spider
(\\textitAcromantula gigantea\\end) in Hogwart's Forbidden Forest",
"Comm.type" = "seminar",
"Affil" = "Hogwarts Keeper of Keys and Grounds")
create_participation_certificate(
data = seminar.table,
path = "labeleR_output",
filename = "participation_certificates",
language = "English",
name.column = "Name",
affiliation.column = "Affil",
comm.type.column = "Comm.type",
title.column = "Title",
date.column = "Date",
type = "online",
event = "seminar",
freetext = "organized by Hogwarts School of Magic and Wizardry",
signer = "A.P.W.B. Dumbledore",
signer.role = "School Headmaster",
rpic = system.file("rmarkdown/pictures/Hogwarts_logo.png", package = "labeleR"),
lpic = system.file("rmarkdown/pictures/MinMagic.png", package = "labeleR"),
signature.pic = system.file("rmarkdown/pictures/dumbledore.png", package = "labeleR")
)
```
+-----------------------------------------------------------------------+
| ![Custom italics |
| example](man/figures/Participation_certificate_italics.png) |
+=======================================================================+
| |
+-----------------------------------------------------------------------+
## Citation
```{r citation, eval=TRUE}
citation("labeleR")
```
## Funding
The development of this software has been funded by the European Union -
Next Generation EU, Fondo Europeo de Desarrollo Regional (FEDER) and
Consejería de Transformación Económica, Industria, Conocimiento y
Universidades of Junta de Andalucía (proyecto US-1381388 led by
Francisco Rodríguez Sánchez, Universidad de Sevilla).