accused witches

Description

A dataset containing list of accused witches, the month of accusation, whether they were executed and, if so, what month.

Usage

accused_witches

Format

A data frame with 152 rows and 8 variables:

Accused.Witch

Name of accused

Residence

Town of residence

Month.of.Accusation

Month of accusation as number

Month.of.Execution

Month of execution as number. Missing for those not executed.

Sort

ID from original data set

Month.of.Accusation.Name

Month of accusation as ordered factor

Month.of.Execution.Name

Month of execution as ordered factor. Missing for those not executed.

executed

Indicator of whether the accused was executed

Source

https://www2.tulane.edu/~salem/Accused%20Witches.html

Names and link segments

Description

A dataset based on data about the accused found http://17thc.us/primarysources/accused.php?id=1&pg=1

Usage

cent17th

Format

An object of class data.frame with 156 rows and 17 columns.

Details

containing a comprehensive list of names from the records if the Salem Witchcraft Trials and the correspondent stub indicating the page name associated with them.

table

Source table

Name

Name of those who were condemned during the trial

Marital Statues (if female) (source)

The marital status of those condemned if they were female with the source

1. evidence of foreiture (source) 2. Article seized

The evidence they had for forefeiture, the source in which they had and if they had aritcle seized or not for those who were condemned

Legal statues (source)

their legal status in which this case is condmemned and their souce

Attainder reversed

if the declaration of the attainders were reversed or not for the condemned

Comments

Any comments made for those who were condemned

Source

http://17thc.us/primarysources/accused.php?id=1&pg=1

Committee list

Description

A dataset containing list of Salem Village Committee members 1685-1698. Given in long format, with one row per member per year. In 1688 there were only 4 members; in all other years there were five.

Usage

committee_list

Format

A data frame with 69 rows and 5 variables:

Committee.Members

Name of committee member

Social

Their social position (3 groups)

Petition

Did this person sign either the pro- or anti-Parris petition in 1695

Sort

ID from original data set

Year

Year of membership

Source

https://www2.tulane.edu/~salem/Committee%20List%20Data%20Set.html

Compensation A data set containing the amount of compensation awarded in 1711. Order for payment of damages by Governor Joseph Dudley, December 17, 1711

Description

Compensation A data set containing the amount of compensation awarded in 1711. Order for payment of damages by Governor Joseph Dudley, December 17, 1711

Usage

compensation

Format

A data frame with 19 rows and 6 variables:

name

Name of those compensated

pounds

Pounds part

shillings

Shillings part

pence

Pence part

total

Total amount converted to pence

gender

Male, female or couple

Source

http://swtdocuments.pem.org/documents/15/

Ergotism symptoms

Description

A dataset containing the ergotism data presented in Spanos and Gottlieb (1976) Table 1. The dataframe records the symptoms possible symptoms of ergotism reported about 22 individuals.

Usage

ergotism_symptoms

Format

A data frame with 22 rows and 20 variables:

name

Name of the sufferer

rsw_volume

Volume number of RSW

rsw_page

Page number

vomitting

Vomitting

diarrhea

Diarrhea

livid_skin

Livid skin

permanent_contractures

Permanent contractures

pain_in_extremities

Pain in extremities

death

Death

temporary_muscle_stiffness

Temporary muscle stiffness

convulsions

Convulsions Cases Spanos and Gottlieb considered uncertain are coded missing.

ravenous_appetite

Ravenous appetite

perceptual_disturbances

Perceptual disturbances Cases Spanos and Gottlieb considered uncertain are coded missing.

apparitions

Apparitions

sensations_of_hot_and_cold

Sensations of hot & cold

skin_sensations

Skin sensations

stomach_pain

Stomach pain

choking_sensations

Choking sensations

inability_to_speak

Temporary inability to speak

total

Total number of symptoms

Details

Spanos and Gottlieb, with one exeption (E. Keysar), drew the data from depositions in the Records of the Salem Witchcraft collection. Details of data collection are provided in the article. The data set indicates the volume and page of the individual report. J. Doritch is also mentioned in volume 2 page 179 of RSW.

The article is an attempt to compare the actual symptoms reported to a list of symptoms of ergotism. For each variable a 1 inidicates that the symptom was reported, while a 0 indicated it was not reported. They conclude that "We examined these 112 depositions looking for behavior that, even in a broad sense, might possibly represent symptoms of convulsive ergotism."

Source

Spanos, N. P., & Gottlieb, J. (1976). Ergotism and the Salem Village Witch Trials. Science, 194(4272), 1390–1394.

forfeitures A data set containing list of forfeitures for those who were condemned, escaped, and stood mute during trial.

Description

forfeitures A data set containing list of forfeitures for those who were condemned, escaped, and stood mute during trial.

Usage

forfeitures

Format

A data frame with 30 rows and 6 variables with the name Person_condemned:

legal_status

Legal status at time of forfeiture

Name

Name of those who were condemned during the trial

marital_status

The marital status for females

forfeiture

The evidence that a forfeiture was ordered

reversed

Was the declaration of the attainders was reversed

The source has some Key Tables which are: for the 1703 and 1711 acts reversing some of the witchcraft attainder see Commonwealth of Massachusetts, the Act and Resolver, Public and Private, of the providence of the Massachusetts Bay, 21 vols. (Boston, 1869-1922), VI, 49-50 (1703 act), VI, 71-72 (1711 act). SWP-Paul Boyer and Stephen Nissenbain, eds., The Salem Witchcraft Papers; Verbian Transcript of the Legal Documents of the Salem Witchcraft Outbreak of 1692, 3 vols. (New York, 1977). Calef-Robert Calef, More Wonders of the Invisible World (London, 1700), excerpted in George L. Burr, ed., Narratives of the Witchcraft Cases, 1684-1706 (New York, 1914), 293-393. Brattle-Thomas Brattle, "Letter," Oct. 8, 1692, in Burr, ed., Narratives, 169-190. Hale-John Hale, A modest Inquiry Into the Nature of Witchcraft (Boston, 1702), in Burr, Narratives, 399-432. Gage-Thomas Gage, the History of Rowley (Boston, 1840).

Source

Brown, David C. “The Forfeitures at Salem, 1692.” The William and Mary Quarterly,#' vol. 50, no. 1, 1993, pp. 85–111. JSTOR, www.jstor.org/stable/2947237?seq=1, 10.2307/2947237

Names and link segments

Description

A dataset containing a comprehensive list of names mentioned in therecords of the Salem Witchcraft Papers and the correspondent stub indicating the page name associated with them.

Usage

long_doc_name

Format

An object of class data.frame with 3884 rows and 2 columns.

Details

There are 139 separate pages which mention a total of 1392 unique names. 857 individuals were mentioned once. The maximum number of mentions is 85 (John Hathorn, who served as Salem's Magistrate).

link

Source table

name

Name of person mentioned

Source

https://salem.lib.virginia.edu/category/swp.html

The social positions of pro-Parris and anti-Parris individuals

Description

A dataset containing a list of individuals who signed pro-Parris and anti-Parris petitions and their social positions

Usage

parris_social

Format

A data frame with 189 rows and 5 variables:

Name

Name of the individual

view

Stance on Parris

Sex

Sex of the individual

Identification

The social position of the individual (five groups)

Sort

ID from original data set

Source

https://www2.tulane.edu/~salem/Pro-Parris%20Data%20Set.html

Simple Features data for Salem

Description

A dataset containing map information for the three counties represented in the accused_witches data set (not including present-day Maine locations) in simple features format. It also includes associated data on accusations. This data should never be used to analyze accusations. The data is based on modern town boundaries from the Massachuessetts Document Repository. Some simple cleaning has been done to facilitate basic mapping. Specifically, the names Salem Town and Salem Village are used rather than the modern Salem and Danvers. Additionally, a field, TOWN_LABEL is attached to the largest area for each town or community.

Usage

salem_region

Format

A simple features data frame with 437 rows and 28 variables:

geometry

Simple Features geometry

TOWN

Name of town in upper case letters

TOWN_ID

ID of town

TYPE

Type of municipality C = City or T = Town

ISLAND

Indicator for islands. Note that many towns have multiple polygons

COASTAL_PO

YES for ocean polygon within town limits, NO otherwise

FOURCOLOR

Codes allowing shading of all towns with 4 symbols

FIPS_STCO

FIPS for state and county

CCD_MCD

US Census town code

FIPS_PLACE

FIPS town code

FIPS_MCD

FIPS State & County & Census Town Code concatenated

FIPS_COUNT

FIPS County

ACRES

Area in acres

SQUARE_MIL

Area in square miles

SHAPE_Leng

The perimeter in meters

SHAPE_Area

The polygon area in square meters

n_accused

Total accused

February

Number accused in February

March

Number accused in March

April

Number accused in April

May

Number accused in May

June

Number accused in June

July

Number accused in July

August

Number accused in August

September

Number accused in September

October

Number accused in October

November

Number accused in November

TOWN_LABEL

Town name to be used for labelling

Details

Complex analyses require the sf package, but simple mapping can be done using ggplot2.

FIPS refers to the Federal Information Processing Standard

Source

https://www.mass.gov/info-details/massgis-data-municipalities

Salem_village

Description

A dataset containing tax list of everyone who appeared on the tax assessment rolls for 1690, 1695, and 1697. This is a "a good, though imperfect, indicator of the village's adult male population" plus some widows (and excluding young men who were not independent).

Usage

salem_village

Format

A data frame with 137 rows and 5 variables:

Name

Name of taxpayer (may be a family)

Petition

Did this person sign either the pro- or anti-Parris petition in 1695

Church.to.1696

Was the person a member of any church through 1696

Sort

ID from original data set

Details

May be merged with the tax_comparison data set based on name matching, but care should be taken to review and make judgements about matching.

Source

https://www2.tulane.edu/~salem/Salem%20Village%20Data%20Set.html

Tax list data for Salem

Description

A dataset containing tax list data for Salem, MA, 1681-1700. Payments are in shillings (converted from original records). Petition refers to Pro-Parris, Anti-Parris and No Signature. Data are in long format with one record per person per year, while the original data was in wide format with a variable for each year. May be merged with the tax_comparison data set based on name matching, but care should be taken to review and make judgements about matching. This data set includes more years of tax records than salem_village.

Usage

tax_comparison

Format

A data frame with 200 rows and 5 variables:

Name

Name of the tax payer

Petition

Stance on Petition

Year

Year of payment

Tax

Tax paid

Sort

ID from original data set

Source

https://www2.tulane.edu/~salem/Tax%20Comparison%20Data%20Set.html