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 computationFri, 09 Dec 2016 12:43:42 +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/09/t1481283835rali3eqzv8g2h81.htm/, Retrieved Thu, 20 Feb 2025 19:16:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=298472, Retrieved Thu, 20 Feb 2025 19:16:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact118

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2016-12-09 11:43:42] [c4ef4c70482680cab119953cba46aca4] [Current]
-         [Histogram] [] [2016-12-09 11:47:14] [4a8510cccac9dcc6037334f855833cfb]
- RM      [ML Fitting and QQ Plot- Normal Distribution] [] [2016-12-09 11:50:52] [4a8510cccac9dcc6037334f855833cfb]
-    D    [Histogram] [] [2016-12-09 11:52:39] [4a8510cccac9dcc6037334f855833cfb]
- RM D    [ML Fitting and QQ Plot- Normal Distribution] [] [2016-12-09 11:55:49] [4a8510cccac9dcc6037334f855833cfb]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
3
4
4
4
5
4
4
4
4
4
3
4
3
4
3
4
4
4
4
4
4
4
3
4
4
4
4
4
4
4
4
4
3
4
5
4
5
4
4
4
5
4
4
3
4
3
4
4
4
4
4
4
4
4
4
3
5
3
5
4
5
4
4
3
4
4
5
4
4
4
4
3
4
5
4
5
4
4
4

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298472&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]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=298472&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298472&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 time0 seconds
R ServerBig Analytics Cloud Computing Center






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[3,3.2[3.1130.1354170.1354170.677083
[3.2,3.4[3.3000.1354170
[3.4,3.6[3.5000.1354170
[3.6,3.8[3.7000.1354170
[3.8,4[3.9000.1354170
[4,4.2[4.1730.7604170.8958333.802083
[4.2,4.4[4.3000.8958330
[4.4,4.6[4.5000.8958330
[4.6,4.8[4.7000.8958330
[4.8,5]4.9100.10416710.520833

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[3,3.2[ & 3.1 & 13 & 0.135417 & 0.135417 & 0.677083 \tabularnewline
[3.2,3.4[ & 3.3 & 0 & 0 & 0.135417 & 0 \tabularnewline
[3.4,3.6[ & 3.5 & 0 & 0 & 0.135417 & 0 \tabularnewline
[3.6,3.8[ & 3.7 & 0 & 0 & 0.135417 & 0 \tabularnewline
[3.8,4[ & 3.9 & 0 & 0 & 0.135417 & 0 \tabularnewline
[4,4.2[ & 4.1 & 73 & 0.760417 & 0.895833 & 3.802083 \tabularnewline
[4.2,4.4[ & 4.3 & 0 & 0 & 0.895833 & 0 \tabularnewline
[4.4,4.6[ & 4.5 & 0 & 0 & 0.895833 & 0 \tabularnewline
[4.6,4.8[ & 4.7 & 0 & 0 & 0.895833 & 0 \tabularnewline
[4.8,5] & 4.9 & 10 & 0.104167 & 1 & 0.520833 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=298472&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][3,3.2[[/C][C]3.1[/C][C]13[/C][C]0.135417[/C][C]0.135417[/C][C]0.677083[/C][/ROW]
[ROW][C][3.2,3.4[[/C][C]3.3[/C][C]0[/C][C]0[/C][C]0.135417[/C][C]0[/C][/ROW]
[ROW][C][3.4,3.6[[/C][C]3.5[/C][C]0[/C][C]0[/C][C]0.135417[/C][C]0[/C][/ROW]
[ROW][C][3.6,3.8[[/C][C]3.7[/C][C]0[/C][C]0[/C][C]0.135417[/C][C]0[/C][/ROW]
[ROW][C][3.8,4[[/C][C]3.9[/C][C]0[/C][C]0[/C][C]0.135417[/C][C]0[/C][/ROW]
[ROW][C][4,4.2[[/C][C]4.1[/C][C]73[/C][C]0.760417[/C][C]0.895833[/C][C]3.802083[/C][/ROW]
[ROW][C][4.2,4.4[[/C][C]4.3[/C][C]0[/C][C]0[/C][C]0.895833[/C][C]0[/C][/ROW]
[ROW][C][4.4,4.6[[/C][C]4.5[/C][C]0[/C][C]0[/C][C]0.895833[/C][C]0[/C][/ROW]
[ROW][C][4.6,4.8[[/C][C]4.7[/C][C]0[/C][C]0[/C][C]0.895833[/C][C]0[/C][/ROW]
[ROW][C][4.8,5][/C][C]4.9[/C][C]10[/C][C]0.104167[/C][C]1[/C][C]0.520833[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=298472&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=298472&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
[3,3.2[3.1130.1354170.1354170.677083
[3.2,3.4[3.3000.1354170
[3.4,3.6[3.5000.1354170
[3.6,3.8[3.7000.1354170
[3.8,4[3.9000.1354170
[4,4.2[4.1730.7604170.8958333.802083
[4.2,4.4[4.3000.8958330
[4.4,4.6[4.5000.8958330
[4.6,4.8[4.7000.8958330
[4.8,5]4.9100.10416710.520833


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')
}