FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 14 Dec 2016 15:30:05 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/14/t1481725827s8zw51dbqa1qeql.htm/, Retrieved Fri, 01 Nov 2024 03:34:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=299497, Retrieved Fri, 01 Nov 2024 03:34:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [histogram leeftijd] [2016-12-14 14:30:05] [a5a1109b2531d70fe6d77f4f71bfe676] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
22
24
21
21
24
20
22
20
19
23
21
19
19
21
21
22
22
19
21
21
21
20
22
22
24
21
19
19
23
21
21
19
21
19
21
21
23
19
19
19
18
22
18
22
18
22
22
19
22
25
19
19
19
19
21
21
20
19
19
22
26
19
21
21
20
23
22
22
22
21
21
22
23
18
24
22
21
21
21
23
21
23
21
19
21
21
21
23
23
20
20
19
23
22
19
23
22
22
21
21
21
21
22
25
21
23
19
22
20
21
25
21
19
23
22
21
24
21
19
18
19
20
19
22
21
22
24
28
19
18
23
19
23
19
22
21
19
22
21
23
22
19
19
21
22
21
20
23
22
23
22
21
20
18
18
20
19
21
24
19
20
19
23
22
21
24
21
21
22

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=299497&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=299497&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299497&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[18,19[18.580.0473370.0473370.047337
[19,20[19.5360.2130180.2603550.213018
[20,21[20.5130.0769230.3372780.076923
[21,22[21.5470.2781070.6153850.278107
[22,23[22.5330.1952660.8106510.195266
[23,24[23.5190.1124260.9230770.112426
[24,25[24.580.0473370.9704140.047337
[25,26[25.530.0177510.9881660.017751
[26,27[26.510.0059170.9940830.005917
[27,28]27.510.00591710.005917

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[18,19[ & 18.5 & 8 & 0.047337 & 0.047337 & 0.047337 \tabularnewline
[19,20[ & 19.5 & 36 & 0.213018 & 0.260355 & 0.213018 \tabularnewline
[20,21[ & 20.5 & 13 & 0.076923 & 0.337278 & 0.076923 \tabularnewline
[21,22[ & 21.5 & 47 & 0.278107 & 0.615385 & 0.278107 \tabularnewline
[22,23[ & 22.5 & 33 & 0.195266 & 0.810651 & 0.195266 \tabularnewline
[23,24[ & 23.5 & 19 & 0.112426 & 0.923077 & 0.112426 \tabularnewline
[24,25[ & 24.5 & 8 & 0.047337 & 0.970414 & 0.047337 \tabularnewline
[25,26[ & 25.5 & 3 & 0.017751 & 0.988166 & 0.017751 \tabularnewline
[26,27[ & 26.5 & 1 & 0.005917 & 0.994083 & 0.005917 \tabularnewline
[27,28] & 27.5 & 1 & 0.005917 & 1 & 0.005917 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=299497&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][18,19[[/C][C]18.5[/C][C]8[/C][C]0.047337[/C][C]0.047337[/C][C]0.047337[/C][/ROW]
[ROW][C][19,20[[/C][C]19.5[/C][C]36[/C][C]0.213018[/C][C]0.260355[/C][C]0.213018[/C][/ROW]
[ROW][C][20,21[[/C][C]20.5[/C][C]13[/C][C]0.076923[/C][C]0.337278[/C][C]0.076923[/C][/ROW]
[ROW][C][21,22[[/C][C]21.5[/C][C]47[/C][C]0.278107[/C][C]0.615385[/C][C]0.278107[/C][/ROW]
[ROW][C][22,23[[/C][C]22.5[/C][C]33[/C][C]0.195266[/C][C]0.810651[/C][C]0.195266[/C][/ROW]
[ROW][C][23,24[[/C][C]23.5[/C][C]19[/C][C]0.112426[/C][C]0.923077[/C][C]0.112426[/C][/ROW]
[ROW][C][24,25[[/C][C]24.5[/C][C]8[/C][C]0.047337[/C][C]0.970414[/C][C]0.047337[/C][/ROW]
[ROW][C][25,26[[/C][C]25.5[/C][C]3[/C][C]0.017751[/C][C]0.988166[/C][C]0.017751[/C][/ROW]
[ROW][C][26,27[[/C][C]26.5[/C][C]1[/C][C]0.005917[/C][C]0.994083[/C][C]0.005917[/C][/ROW]
[ROW][C][27,28][/C][C]27.5[/C][C]1[/C][C]0.005917[/C][C]1[/C][C]0.005917[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=299497&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=299497&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[18,19[18.580.0473370.0473370.047337
[19,20[19.5360.2130180.2603550.213018
[20,21[20.5130.0769230.3372780.076923
[21,22[21.5470.2781070.6153850.278107
[22,23[22.5330.1952660.8106510.195266
[23,24[23.5190.1124260.9230770.112426
[24,25[24.580.0473370.9704140.047337
[25,26[25.530.0177510.9881660.017751
[26,27[26.510.0059170.9940830.005917
[27,28]27.510.00591710.005917


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
barplot(mytab <- sort(table(x),T),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Histogram)',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}